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<meta name="author" content="Valentina Gonzalez Rostani" />

<meta name="date" content="2024-08-24" />

<title>Master File: All Stata and R Scripts</title>

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ke2C8vfjgV/Y9kkRQOJIn/xM9INZSpiBnqX0Q9GlQPpPKAyO5y+W5NMPSRdBCUlmuxl40ZfMCnf2Cp044uI9WLFtCi4YVxKjuRCOBWIb4XbIsGdbo4qtMQnNOQz4XDSui7W/N6l54qOynCqD3DpWQ+mpD7C40D8BZEWGJX3tlAaZBMj1yjvDYKwCJBa201u6nBKE5UE+7QSEhCwrXfbRZylAaAkplhBWX50dumrElePyNMRYUrC99UmcSSNgImhFhDI4BXjMtiqkgizUGCrZ8iwFxU6fQ8GEHCFdLewwxYWxgScAYMdMLmcZR6b7rZl95eQVDGVoUKcRMM1ixXQtXNkBETZkVVPg8LoSrdetHzkuM7DjZRHP02tCxA1fmkXKF3VzfN1pc1cv/8lbTIkkYpqKM9VOhp65ktYk+Q46myFWBapDfyWUCnsnI00QTBQmuFjMZTcd0V2NQ768Fhpby04k2IzNR1wKabuGJqYWwSly6ocMFGTeeI+ejsWDYgEvr66QgqdcIbFYDNgsm0x9UHY6SCd5+7tpsLpKdvhahIDyYmEJQCqMqtCF6UlrE5GXRmbu+vtm3BFSxI6ND6UxIE7GsGMgWqghXxSnaRJuGFveTcK5ZVSPJyjUxe1dKgI6kNF7EZhIZs8y8FVqwEfbM0Xk2ltORVDKZZM40SD3qQoQe0orJEKwPfZwm3YPqwixhUMOndis6MhbmfvLBKjC8sKKIZKbJk8L11oNkCQzCgvjhyyEiQSuJcgCQSG4Mocfgc0Hkwcjal1UNgP0CBPikYqBIk9tONv4kLtBswH07vUCjEaHiFGlLf8MgXKzSgjp2HolRRccAOh0ILHz9qlGgIFkwAnzHJRjWFhlA7ROwINyB5HFj59PRZHFor6voq7l23EPNRwdWhgawqbivLSjRA4htEYUFkjESu67icTg5S0aW1sOkCiIysfJ9UnIWevOOLGpepcBxy1wEhd2WI3AZg7sr9WBmHWyasxMcvY/iOmsLtHSWNUWEGk9hScMPShasUA1AcHOtRZlqMeQ0OzYS9vQvYUjOLrzP07BUAFikcJNMi7gIxEw4pL1G54TcmmmoAQ5s7TGWErJZ2Io4yQ0ljRYhL8H5e62oDtLF8aDpnIvZ5R3GWJyAugdiiJW9hQAVTsnCBHhwu7rkBlBX6r3b7ejEY0k5GGeyKv66v+6dg7mcJTrWHbtMywbedYqCQ0FPwoytmSWsL8WTtChZCKKzEF7vP6De4x2BJkkniMgSdWhbeBSLtJZR9CTHetK1xb34AYIJ37OegYIoPVbXgJ/qDQK+bfCtxQRVKQu77WzOoM6SGL7MaZwCGJVk46aImai9fmam+WpHG+0BtQPWUgZ7RIAlPq6lkECUhZQ2gqWkMYKcYMYaIc4gYCDFHYa2d1nzp3+J1eCBay8IYZ0wQRKGAqvCuZ/UgbQPyllosq+XtfKIZOzmeJqRazpmmoP/76YfkjzV2NlXTDSBYB04SVlNQsFTbGPk1t/I4Jktu0XSgifO2ozFOiwd/0SssJDn0dn4xqk4GDTTKX73/wQyBLdqgJ+Wx6AQaba3BA9CKEzjtQYIfAsiYamapq80LAamYjinlKXUkxdpIDk0puXUEYzSalfRibAeDAKpNiqQ0FTwoxuGYzRnisyTotdVTclis1LHRQCy/qqL8oUaQzWRxilq5Mi0IJGtMY02cGLD69vGjkj3p6pGePKI8bkBv5evq8SjjyU04vJR2cQXQwSJyoinDsUJHCQ50jrFTT7yRdbdYQMB3MYCb6uBzJ9ewhXYPAIZSXfeEQBZZ3GPN3Nbhh/wkvAJLXnQMdi5NYYZ5GHE400GS5rXkOZSQsdZgIbzRnF9ueLnsfQ47wHAsirITnTlkCcuWWIUhJSbpM3wWhXNHvt2xUsKKMpdBSbJnBMcihkoDqAd1Zml/R4yrzow1Q2A5G+kzo/RhRxQS2lCSDRV8LlYLBOOoo1bF4jwJAwKMK1tWLHlu9i0j4Ig8qVm6wE1DxXwAwQwsaBWUg2pOOol2dHxyt6npwJEdLDDVYyRc2D0HbcbLUJQj8gPevQBUBOUHXPrsAPBERICpnYESeu2OHotpXQxRGlCCtLdIsu23MhZVEoJg8Qumj/UMMc34IBqTKLDTp76WzL/dMjCxK7MjhiGjeYAC/kj/jY/Rde7hpSM1xChrog6yZ7OWTuD56xBJnGFE+pT2ElSyCnJcwVzCjkqeNLfMEJqKW0G7OFIp0G+9mh50I9o8k1tpCY0xYqFNIALgIfc2me4n1bmJnRZ89oepgLPT0NTMLNZsvSCZAc3TXaNB07vail36/dBySis4m9/DR8izaLJW6bWCkVgm5T+ius3ZXq4xI+GnbveLbdRwF2mNtsrE0JjYc1AXknCOrLSu7Te/r4dPYMCl5qtiHNTn+TPbh1jCBHH+dMJNhwNgs3nT+OhQoQ0vYif56BMG6WowAcHR3DjQolxLzyVekHj00PBAaW7IIAF1EF+uRIWyXjQMAs2chdpaKPNaB+kSezYt0+CA04sOg5vx8Fr7Ofa9sUv87h7SLAUFSzbetCCZ9pmyLt6l6/TzoA1/ZBG9bIUVHLAbi/kdBFgYGyGwRQGBpkqCEg2ah9UD6EedEcEL3j4y0BQQCiExEnocA3SZboh+epgd3YsOkHskZwPuQ5OoyA0fTA5AXrHcUOQF+zkJHIA7PwCDk1gGVmGUZSSoPhNf+Tklauz98QofOlCIQ/tCD4dosHYPqtPCXB3agggQQIqQJsSkB+qn0rkQ1toJjON/OtCIB9RYv3PqRA4C4U68ZMlZn6BdgEvi2ziU+TQ6NIw3ej+AtDwMGEZk7e2IjxUWKdAxyaw9OCwSmeADTPPleyk6UhGDNXQb++W6Uk4q6F7/rg6WVTo82IoCxSIsFDrav4EPHphD3u4hR53WKVvYZUwNCCeM4PMBWzK+EfIthZOkuAwPo5C5jgoZgn6dUdvx5rIDmd58cXXdKNfw3l+wM2UjgrDJeQHhbD7HW2QDoZMCujgIUkk5Fg8VCsdyjOtnGRx8wgKRPZN5dR0zPUyfGZFVihbFRniXZFOZGKPnEQzU3AnD1KfR6weHW2XS6KbPJxUkOTZsAB9vTVp3Le1F8q5l+DMcLiIq78jxAImD2pGFw0VHfRatScGlK6SMu8leTmhUSMy8Uhdd6xBiH3Gdman4tjQGLboJfqz6fL2WKHTmrfsKZRYX6BTDjDldKMosaSTLdQS7oDisJNqAUhw1PfTlnacCO8vl8706Km1FROgLDmudzxg+EWTiArtHgLsRrAXYWdB0NmToNCJdKm0KWycZQqb+Mw76Qy29iQ5up/X7oyw8QZ75kP5F6iJAJz6KCmqxz8fEa/xnsMYcIO/vEkGRuMckhr4rIeLrKaXnmIzlNLxbFspOphkcnJdnz/Chp/Vlpj2P7jJQmQRwGnltkTV5dbF9fE3/fxoSqTROgq9wFUlbuYzYcasE0ouzBo+dDCDzxKAfhbAZYxQiHrLzV2iVexnDX/QnT1fsT/xuhu1ui5qIytgbGmRoQkeQooO8eJNNZsf0iALur8QxZFH0nCMnjerYQqG1pIfjyVZWxhVRznmmfLG00BcBWJE6hzQWRyFknuJnXuk8A5FRDCulwrWASSNoBtR+CtGdkPwYN2o7DOw/VGlCZPusRBFXODQdUM5zeHDIVuAJBLqbO/f9Qua+pDqEPk230Sob9lEZ8BHiCorjVghuI0lI4JDgHGRDD/prQ84B1pVGkIpVUAHCG+iz3Bn3qm2AVrYcYWhock4jso5+J7HfHVj4WMIQdGctq3psBCVVzupQOEioBGA2Bk+UILT7+VoX5mdxxA5fS42gISQVi/HTzrgMxu0fY6hE1ocUwwbsbWcezrY2n6S8/6cxXkOH4prpmPuFoikTzY7T85C4T2XYlbxLglSv2uLCgFv8Quk/wdesUdWPeHYIH0R729JIisN9Apdd4eB10aqwXrPt+Su9mA8k8n1sjMwnfsfF2j3jMUzXepSHmZ/BfqXvzgUNQQWOXO8YEuFBh4QTYCkOAPxywpYu1VxiDyJmKVcmJPGWk/gc3Pov02StyYDahwmzw3E1gYC9wkupyWfDqDSUMpCTH5e5N8B//lHiMuIkTNw4USHrJU67bjXGqNav6PBuQSoqTxc8avHoGmvqNtXzIaoyMIQIiiUHIM64cXieouplhNYln7qgc4wBVAYR104kO+CvKqsg4yIUlFNThVUAKZxZt1XA34h3TCUUiXVkZ0w8Hh2R0Z5L0b4LZvPd/p1gi/07h8qfwHrByuSxglc9cI4QIg2oqvC/qm0i7tjPLTgDhoWTAKDO2ONW5oe+/eKB9vZB8K6C25yCZ9RFVMnb6NRdRjyVK57CHHSkJBfnM2/j4ODUwRkqrtBBCrDsDpt8jhZdXoy/1BCqw3sSGhgGGy0a5Jw6BP/TExoCmNFYjZl248A0osgPyGEmRA+fAsqPVaNAfytu0vuQJ7rk3J4kTDTR2AlCHJ5cls26opZM4w3jMULh2YXKpcqGBtuleAlOZnaZGbD6DHzMd6i2oFeJ8z9XYmalg1Szd/ocZDc1C7Y6vcALJz2lYnTXiWEr2wawtoR4g3jvWUU2Ngjd1cewtFzEvM1NiHZPeLlIXFbBPawxNgMwwAlyNSuGF3zizVeOoC9bag1qRAQKQE/EZBWC2J8mnXAN2aTBboZ7HewnObE8CwROudZHmUM5oZ/Ugd/JZQK8lvAm43uDRAbyW8gZ+ZGq0EVerVGUKUSm/Idn8AQHdR4m7bue88WBwft9mSCeMOt1ncBwziOmJYI2ZR7ewNMPiCugmSsE4EyQ+QATJG6qORMGd4snEzc6B4shPIo4G1T7PgSm8PY5eUkPdF8JZ0VBtadbHXoJgnEhZQaODPj2gpODKJY5Yp4DOsLBFxWbvXN755KWylJm+oOd4zEL9Hpubuy2gyyfxh8oEfFutnYWdfB8PdESLWYvSqbElP9qo3u6KTmkhoacDauMNNjj0oy40DFV7Ql0aZj77xfGl7TJNHnIwgqOkenruYYNo6h724+zUQ7+vkCpZB+pGA562hYQiDxHVWOq0oDQl/QsoiY+cuI7iWq/ZIBtHcXJ7kks+h2fCNUPA82BzjnqktNts+RLdk1VSu+tqEn7QZCCsvEqk6FkfiOYkrsw092J8jsfIuEKypNjLxrKA9kiA19mxBD2suxQKCzwXGws7kEJvlhUiV9tArLIdZW0IORcxEzdzKmjtFhsjKy/44XYXdI5noQoRcvjZ1RMPACRqYg2V1+OwOepcOknRLLFdYgTkT5UApt/JhLM3jeFYprZV+Zow2g8fP+U68hkKFWJj2yBbKqsrp25xkZX1DAjUw52IMYWaOhab8Kp05VrdNftqwRrymWF4OQSjbdfzmRZirK8FMJELEgER2PHjEAN9pGfLhCUiTJFbd5LBkOBMaxLr/A1SY9dXFz4RjzoU9ExfJCmx/I9FKEGT3n2cmzl2X42L3Jh+AbQq6sA+Ss1kitoa4TAYgKHaoybHUDJ51oETdeI/9ThSmjWGkyLi5QAGWhL0BG1UsTyRGRJOldKBrYJeB8ljLJHfATWTEQBXBDnQexOHTB+Un44zExFE4vLytcu5NwpWrUxO/0ZICUGM7hGABXym0V6ZvDST0E370St9MIWQOTWngeoQHUTdCJUP04spMBMS8LSker9cReVQkULFDIZDFPrhTzBl6sed9wcZQTbL+BDqMyaN3RJPh/anbx+Iv+qgQdAa3M9Z5JmvYlh4qop+Ho1F1W5gbOE9YKLgAnWytXElU4G8GtW47lhgFE6gaSs+gs37sFvi0PPVvA5dnCBgILTwoKd/+DoL9F6inlM7H4rOTzD79KJgKlZO/Zgt22UsKhrAaXU5ZcLrAglTVKJEmNJvORGN1vqrcfSMizfpsgbIe9zno+gBoKVXgIL/VI8dB1O5o/R3Suez/gD7M781ShjKpIIORM/nxG+jjhhgPwsn2IoXsPGPqYHXA63zJ07M2GPEykQwJBYLK808qYxuIew4frk52nhCsnCYmXiR6CuapvE1IwRB4/QftDbEn+AucIr1oxrLabRj9q4ae0+fXkHnteAJwXRbVkR0mctVSwEbqhJiMSZUp9DNbEDMmjX22m3ABpkrPQQTP3S1sib5pD2VRKRd+eNAjLYyT0hGrdjWJZy24OYXRoWQAIhGBZRxuBFMjjZQhpgrWo8SiFYbojcHO8V5DyscJpLTHyx9Fimassyo5U6WNtquUMYgccaHY5amgR3PQzq3ToNM5ABnoB9kuxsebqmYZm0R9qxJbFXCQ1UPyFIbxoUraTJFDpCk0Wk9GaYJKz/6oHwEP0Q14lMtlddQsOAU9zlYdMVHiT7RQP3XCmWYDcHCGbVRHGnHuwzScA0BaSBOGkz3lM8CArjrBsyEoV6Ys4qgDK3ykQQPZ3hCRGNXQTNNXbEb6tDiTDLKOyMzRhCFT+mAUmiYbV3YQVqFVp9dorv+TsLeCykS2b5yyu8AV7IS9cxcL8z4Kfwp+xJyYLv1OsxQCZwTB4a8BZ/5EdxTBJthApqyfd9u3ifr/WILTqq5VqgwMT9SOxbSGWLQJUUWCVi4k9tho9nEsbUh7U6NUsLmkYFXOhZ0kmamaJLRNJzSj/qn4Mso6zb6iLLBXoaZ6AqeWCjHQm2lztnejYYM2eubnpBdKVLORZhudH3JF1waBJKA9+W8EhMj3Kzf0L4vi4k6RoHh3Z5YgmSZmk6ns4fjScjAoL8GoOECgqgYEBYUGFVO4FUv4/YtowhEmTs0vrvlD/CrisnoBNDAcUi/teY7OctFlmARQzjOItrrlKuPO6E2Ox93L4O/4DcgV/dZ7qR3VBwVQxP1GCieA4RIpweYJ5FoYrHxqRBdJjnqbsikA2Ictbb8vE1GYIo9dacK0REgDX4smy6GAkxlH1yCGGsk+tgiDhNKuKu3yNrMdxafmKTF632F8Vx4BNK57GvlFisrkjN9WDAtjsWA0ENT2e2nETUb/n7qwhvGnrHuf5bX6Vh/n3xffU3PeHdR+FA92i6ufT3AlyAREoNDh6chiMWTvjKjHDeRhOa9YkOQRq1vQXEMppAQVwHCuIcV2g5rBn6GmZZpTR7vnSD6ZmhdSl176gqKTXu5E+YbfL0adwNtHP7dT7t7b46DVZIkzaRJOM+S6KcrzYVg+T3wSRFRQashjfU18NutrKa/7PXbtuJvpIjbgPeqd+pjmRw6YKpnANFSQcpzTZgpSNJ6J7uiagAbir/8tNXJ/OsOnRh6iuIexxrmkIneAgz8QoLmiaJ8sLQrELVK2yn3wOHp57BAZJhDZjTBzyoRAuuZ4eoxHruY1pSb7qq79cIeAdOwin4GdgMeIMHeG+FZWYaiUQQyC5b50zKjYw97dFjAeY2I4Bnl105Iku1y0lMA1ZHolLx19uZnRdILcXKlZGQx/GdEqSsMRU1BIrFqRcV1qQOOHyxOLXEGcbRtAEsuAC2V4K3p5mFJ22IDWaEkk9ttf5Izb2LkD1MnrSwztXmmD/Qi/EmVEFBfiKGmftsPwVaIoZanlKndMZsIBOskFYpDOq3QUs9aSbAAtL5Dbokus2G4/asthNMK5UQKCOhU97oaOYNGsTah+jfCKsZnTRn5TbhFX8ghg8CBYt/BjeYYYUrtUZ5jVij/op7V5SsbA4mYTOwZ46hqdpbB6Qvq3AS2HHNkC15pTDIcDNGsMPXaBidXYPHc6PJAkRh29Vx8KcgX46LoUQBhRM+3SW6Opll/wgxxsPgKJKzr5QCmwkUxNbeg6Wj34SUnEzOemSuvS2OetRCO8Tyy+QbSKVJcqkia+GvDefFwMOmgnD7h81TUtMn+mRpyJJ349HhAnoWFTejhpYTL9G8N2nVg1qkXBeoS9Nw2fB27t7trm7d/QK7Cr4uoCeOQ7/8JfKT77KiDzLImESHw/0wf73QeHu74hxv7uihi4fTX+XEwAyQG3264dwv17aJ5N335Vt9sdrAXhPOAv8JFvzqyYXwfx8WYJaef1gMl98JRFyl5Mv5Uo/oVH5ww5OzLFsiTPDns7fS6EURSSWd/92BxMYQ8sBaH+j+wthQPdVgDGpTfi+JQIWMD8xKqULliRH01rTeyF8x8q/GBEEEBrAJMPf25UQwi0b8tmqRXY7kIvNkzrkvRWLnxoGYEJsz8u4oOyMp8cHyaybb1HdMCaLApUE+/7xLIZGP6H9xuSEXp1zLIdjk5nBaMuV/yTDRRP8Y2ww5RO6d2D94o+6ucWIqUAvgHIHXhZsmDhjVLczmZ3ca0Cb3PpKwt2UtHVQ0BgFJsqqTsnzZPlKahRUkEu4qmkJt+kqdae76ViWe3STan69yaF9+fESD2lcQshLHWVu4ovItXxO69bqC5p1nZLvI8NdQB9s9UNaJGlQ5mG947ipdDA0eTIw/A1zEdjWquIsQXXGIVEH0thC5M+W9pZe7IhAVnPJkYCCXN5a32HjN6nsvokEqRS44tGIs7s2LVTvcrHAF+RVmI8L4HUYk4x+67AxSMJKqCg8zrGOgvK9kNMdDrNiUtSWuHFpC8/p5qIQrEo/H+1l/0cAwQ2nKmpWxKcMIuHY44Y6DlkpO48tRuUGBWT0FyHwSKO72Ud+tJUfdaZ4CWNijzZtlRa8+CkmO/EwHYfPZFU/hzjFWH7vnzHRMo+aF9u8qHSAiEkA2HjoNQPEwHsDKOt6hOoK3Ce/+/9boMWDa44I6FrQhdgS7OnNaSzwxWKZMcyHi6LN4WC6sSj0qm2PSOGBTvDs/GWJS6SwEN/ULwpb4LQo9fYjUfSXRwZkynUazlSpvX9e+G2zor8l+YaMxSEomDdLHGcD6YVQPegTaA74H8+V4WvJkFUrjMLGLlvSZQWvi8/QA7yzQ8GPno//5SJHRP/OqKObPCo81s/+6WgLqykYpGAgQZhVDEBPXWgU/WzFZjKUhSFInufPRiMAUULC6T11yL45ZrRoB4DzOyJShKXaAJIBS9wzLYIoCEcJKQW8GVCx4fihqJ6mshBUXSw3wWVj3grrHQlGNGhIDNNzsxQ3M+GWn6ASobIWC+LbYOC6UpahVO13Zs2zOzZC8z7FmA05JhUGyBsF4tsG0drcggIFzgg/kpf3+CnAXKiMgIE8Jk/Mhpkc8DUJEUzDSnWlQFme3d0sHZDrg7LavtsEX3cHwjCYA17pMTfx8Ajw9hHscN67hyo+RJQ4458RmPywXykkVcW688oVUrQhahpPRvTWPnuI0B+SkQu7dCyvLRyFYlC1LG1gRCIvn3rwQeINzZQC2KXq31FaR9UmVV2QeGVqBHjmE+VMd3b1fhCynD0pQNhCG6/WCDbKPyE7NRQzL3BzQAJ0g09aUzcQA6mUp9iZFK6Sbp/YbHjo++7/Wj8S4YNa+ZdqAw1hDrKWFXv9+zaXpf8ZTDSbiqsxnwN/CzK5tPkOr4tRh2kY3Bn9JtalbIOI4b3F7F1vPQMfoDcdxMS8CW9m/NCW/HILTUVWQIPiD0j1A6bo8vsv6P1hCESl2abrSJWDrq5sSzUpwoxaCU9FtJyYH4QFMxDBpkkBR6kn0LMPO+5EJ7Z6bCiRoPedRZ/P0SSdii7ZnPAtVwwHUidcdyspwncz5uq6vvm4IEDbJVLUFCn/LvIHfooUBTkFO130FC7CmmcrKdgDJcid9mvVzsDSibOoXtIf9k6ABle3PmIxejodc4aob0QKS432srrCMndbfD454q52V01G4q913mC5HOsTzWF4h2No1av1VbcUgWAqyoZl+11PoFYnNv2HwAODeNRkHj+8SF1fcvVBu6MrehHAZK1Gm69ICcTKizykHgGFx7QdowTVAsYEF2tVc0Z6wLryz2FI1sc5By2znJAAmINndoJiB4sfPdPrTC8RnkW7KRCwxC6YvXg5ahMlQuMpoCSXjOlBy0Kij+bsCYPbGp8BdCBiLmLSAkEQRaieWo1SYvZIKJGj9Ur/eWHjiB7SOVdqMAVmpBvfRiebsFjger7DC+8kRFGtNrTrnnGD2GAJb8rQCWkUPYHhwXsjNBSkE6lGWUj5QNhK0DMNM2l+kXRZ0KLZaGsFSIdQz/HXDxf3/TE30+DgBKWGWdxElyLccJfEpjsnszECNoDGZpdwdRgCixeg9L4EPhH+RptvRMVRaahu4cySjS3P5wxAUCPkmn+rhyASpmiTaiDeggaIxYBmtLZDDhiWIJaBgzfCsAGUF1Q1SFZYyXDt9skCaxJsxK2Ms65dmdp5WAZyxik/zbrTQk5KmgxCg/f45L0jywebOWUYFJQAJia7XzCV0x89rpp/f3AVWhSPyTanqmik2SkD8A3Ml4NhIGLAjBXtPShwKYfi2eXtrDuKLk4QlSyTw1ftXgwqA2jUuopDl+5tfUWZNwBpEPXghzbBggYCw/dhy0ntds2yeHCDKkF/YxQjNIL/F/37jLPHCKBO9ibwYCmuxImIo0ijV2Wbg3kSN2psoe8IsABv3RNFaF9uMyCtCYtqcD+qNOhwMlfARQUdJ2tUX+MNJqOwIciWalZsmEjt07tfa8ma4cji9sqz+Q9hWfmMoKEbIHPOQORbhQRHIsrTYlnVTNvcq1imqmmPDdVDkJgRcTgB8Sb6epCQVmFZe+jGDiNJQLWnfx+drTKYjm0G8yH0ZAGMWzEJhUEQ4Maimgf/bkvo8PLVBsZl152y5S8+HRDfZIMCbYZ1WDp4yrdchOJw8k6R+/2pHmydK4NIK2PHdFPHtoLmHxRDwLFb7eB+M4zNZcB9NrAgjVyzLM7xyYSY13ykWfIEEd2n5/iYp3ZdrCf7fL+en+sIJu2W7E30MrAgZBD1rAAbZHPgeAMtKCg3NpSpYQUDWJu9bT3V7tOKv+NRiJc8JAKqqgCA/PNRBR7ChpiEulyQApMK1AyqcWnpSOmYh6yLiWkGJ2mklCSPIqN7UypWj3dGi5MvsHQ87MrB4VFgypJaFriaHivwcHIpmyi5LhNqtem4q0n8awM19Qk8BOS0EsqGscuuydYsIGsbT5GHnERUiMpKJl4ON7qjB4fEqlGN/hCky89232UQCiaeWpDYCJINXjT6xl4Gc7DxRCtgV0i1ma4RgWLsNtnEBRQFqZggCLiuyEydmFd7WlogpkCw5G1x4ft2psm3KAREwVwr1Gzl6RT7FDAqpVal34ewVm3VH4qn5mjGj+bYL1NgfLNeXDwtmYSpwzbruDKpTjOdgiIHDVQSb5/zBgSMbHLkxWWgghIh9QTFSDILixVwg0Eg1puooBiHAt7DzwJ7m8i8/i+jHvKf0QDnnHVkVTIqMvIQImOrzCJwhSR7qYB5gSwL6aWL9hERHCZc4G2+JrpgHNB8eCCmcIWIQ6rSdyPCyftXkDlErUkHafHRlkOIjxGbAktz75bnh50dU7YHk+Mz7wwstg6RFZb+TZuSOx1qqP5C66c0mptQmzIC2dlpte7vZrauAMm/7RfBYkGtXWGiaWTtwvAQiq2oD4YixPLXE2khB2FRaNRDTk+9sZ6K74Ia9VntCpN4BhJGJMT4Z5c5FhSepRCRWmBXqx+whVZC4me4saDs2iNqXMuCl6iAZflH8fscC1sTsy4PHeC+XYuqMBMUun5YezKbRKmEPwuK+CLzijPEQgfhahQswBBLfg/GBgBiI4QwAqzJkkyYAWtjzSg2ILgMAgqxYfwERRo3zruBL9WOryUArSD8sQOcD7fvIODJxKFS615KFPsb68USBEPPj1orNzFY2xoTtNBVTyzBhPbhFH0PI5AtlJBl2aSgNPYzxYLw7XTDBDinmVoENwiGzmngrMo8OmnRP0Z0i0Zrln9DDFcnmOoBZjABaQIbPOJYZGqX+RCMlDDbElcjaROLDoualmUIQ88Kekk3iM4OQrADcxi3rJguS4MOIBIgKgXrjd1WkbCdqxJk/4efRIFsavZA7KvvJQqp3Iid5Z0NFc5aiMRzGN3vrpBzaMy4JYde3wr96PjN90AYOIbyp6T4zj8LoE66OGcX1Ef4Z3KoWLAUF4BTg7ug/AbkG5UNQXAMkQezujSHeir2uTThgd3gpyzDrbnEdDRH2W7U6PeRvBX1ZFMP5RM+Zu6UUZZD8hDPHldVWntTCNk7To8IeOW9yn2wx0gmurwqC60AOde4r3ETi5pVMSDK8wxhoGAoEX9NLWHIR33VbrbMveii2jAJlrxwytTHbWNu8Y4N8vCCyZjAX/pcsfwXbLze2+D+u33OGBoJyAAL3jn3RuEcdp5If8O+a4NKWvxOTyDltG0IWoHhwVGe7dKkCWFT++tm+haBCikRUUMrMhYKZJKYoVuv/bsJzO8DwfVIInQq3g3BYypiz8baogH3r3GwqCwFtZnz4xMjAVOYnyOi5HWbFA8n0qz1OjSpHWFzpQOpvkNETZBGpxN8ybhtqV/DMUxd9uFZmBfKXMCn/SqkWJyKPnT6lq+4zBZni6fYRByJn6OK+OgPBGRAJluwGSk4wxjOOzyce/PKODwRlsgrVkdcsEiYrqYdXo0Er2GXi2GQZd0tNJT6c9pK1EEJG1zgDJBoTVuCXGAU8BKTvCO/cEQ1Wjk3Zzuy90JX4m3O5IlxVFhYkSUwuQB2up7jhvkm+bddRQu5F9s0XftGEJ9JSuSk+ZachCbdU45fEqbugzTIUokwoAKvpUQF/CvLbWW5BNQFqFkJg2f30E/48StNe5QwBg8zz3YAJ82FZoXBxXSv4QDooDo79NixyglO9AembuBcx5Re3CwOKTHebOPhkmFC7wNaWtoBhFuV4AkEuJ0J+1pT0tLkvFVZaNzfhs/Kd3+A9YsImlO4XK4vpCo/elHQi/9gkFg07xxnuXLt21unCIpDV+bbRxb7FC6nWYTsMFF8+1LUg4JFjVt3vqbuhHmDKbgQ4e+RGizRiO8ky05LQGMdL2IKLSNar0kNG7lHJMaXr5mLdG3nykgj6vB/KVijd1ARWkFEf3yiUw1v/WaQivVUpIDdSNrrKbjO5NPnxz6qTTGgYg03HgPhDrCFyYZTi3XQw3HXCva39mpLNFtz8AiEhxAJHpWX13gCTAwgm9YTvMeiqetdNQv6IU0hH0G+ZManTqDLPjyrOse7WiiwOJCG+J0pZYULhN8NILulmYYvmVcV2MjAfA39sGKqGdjpiPo86fecg65UPyXDIAOyOkCx5NQsLeD4gGVjTVDwOHWkbbBW0GeNjDkcSOn2Nq4cEssP54t9D749A7M1AIOBl0Fi0sSO5v3P7LCBrM6ZwFY6kp2FX6AcbGUdybnfChHPyu6WlRZ2Fwv9YM0RMI7kISRgR8HpQSJJOyTfXj/6gQKuihPtiUtlCQVPohUgzfezTg8o1b3n9pNZeco1QucaoXe40Fa5JYhqdTspFmxGtW9h5ezLFZs3j/N46f+S2rjYNC2JySXrnSAFhvAkz9a5L3pza8eYKHNoPrvBRESpxYPJdKVUxBE39nJ1chrAFpy4MMkf0qKgYALctGg1DQI1kIymyeS2AJNT4X240d3IFQb/0jQbaHJ2YRK8A+ls6WMhWmpCXYG5jqapGs5/eOJErxi2/2KWVHiPellTgh/fNl/2KYPKb7DUcAg+mCOPQFCiU9Mq/WLcU1xxC8aLePFZZlE+PCLzf7ey46INWRw2kcXySR9FDgByXzfxiNKwDFbUSMMhALPFSedyjEVM5442GZ4hTrsAEvZxIieSHGSgkwFh/nFNdrrFD4tBH4Il7fW6ur4J8Xaz7RW9jgtuPEXQsYk7gcMs2neu3zJwTyUerHKSh1iTBkj2YJh1SSOZL5pLuQbFFAvyO4k1Hxg2h99MTC6cTUkbONQIAnEfGsGkNFWRbuRyyaEZInM5pij73EA9rPIUfU4XoqQpHT9THZkW+oKFLvpyvTBMM69tN1Ydwv1LIEhHsC+ueVG+w+kyCPsvV3erRikcscHjZCkccx6VrBkBRusTDDd8847GA7p2Ucy0y0HdSRN6YIBciYa4vuXcAZbQAuSEmzw+H/AuOx+aH+tBL88H57D0MsqyiZxhOEQkF/8DR1d2hSPMj/sNOa5rxcUnBgH8ictv2J+cb4BA4v3MCShdZ2vtK30vAwkobnEWh7rsSyhmos3WC93Gn9C4nnAd/PjMMtQfyDNZsOPd6XcAsnBE/mRHtHEyJMzJfZFLE9OvQa0i9kUmToJ0ZxknTgdl/XPV8xoh0K7wNHHsnBdvFH3sv52lU7UFteseLG/VanIvcwycVA7+BE1Ulyb20BvwUWZcMTKhaCcmY3ROpvonVMV4N7yBXTL7IDtHzQ4CCcqF66LjF3xUqgErKzolLyCG6Kb7irP/MVTCCwGRxfrPGpMMGvPLgJ881PHMNMIO09T5ig7AzZTX/5PLlwnJLDAPfuHynSGhV4tPqR3gJ4kg4c06c/F1AcjGytKm2Yb5jwMotF7vro4YDLWlnMIpmPg36NgAZsGA0W1spfLSue4xxat0Gdwd0lqDBOgIaMANykwwDKejt5YaNtJYIkrSgu0KjIg0pznY0SCd1qlC6R19g97UrWDoYJGlrvCE05J/5wkjpkre727p5PTRX5FGrSBIfJqhJE/IS876PaHFkx9pGTH3oaY3jJRvLX9Iy3Edoar7cFvJqyUlOhAEiOSAyYgVEGkzHdug+oRHIEOXAExMiTSKU9A6nmRC8mp8iYhwWdP2U/5EkFAdPrZw03YA3gSyNUtMZeh7dDCu8pF5x0VORCTgKp07ehy7NZqKTpIC4UJJ89lnboyAfy5OyXzXtuDRbtAFjZRSyGFTpFrXwkpjSLIQIG3N0Vj4BtzK3wdlkBJrO18MNsgseR4BysJilI0wI6ZahLhBFA0XBmV8d4LUzEcNVb0xbLjLTETYN8OEVqNxkt10W614dd1FlFFVTIgB7/BQQp1sWlNolpIu4ekxUTBV7NmxOFKEBmmN+nA7pvF78/RII5ZHA09OAiE/66MF6HQ+qVEJCHxwymukkNvzqHEh52dULPbVasfQMgTDyBZzx4007YiKdBuUauQOt27Gmy8ISclPmEUCIcuLbkb1mzQSqIa3iE0PJh7UMYQbkpe+hXjTJKdldyt2mVPwywoODGJtBV1lJTgMsuSQBlDMwhEKIfrvsxGQjHPCEfNfMAY2oxvyKcKPUbQySkKG6tj9AQyEW3Q5rpaDJ5Sns9ScLKeizPRbvWYAw4bXkrZdmB7CQopCH8NAmqbuciZChHN8lVGaDbCnmddnqO1PQ4ieMYfcSiBE5zzMz+JV/4eyzrzTEShvqSGzgWimkNxLvUj86iAwcZuIkqdB0VaIB7wncLRmzHkiUQpPBIXbDDLHBlq7vp9xwuC9AiNkIptAYlG7Biyuk8ILdynuUM1cHWJgeB+K3wBP/ineogxkvBNNQ4AkW0hvpBOQGFfeptF2YTR75MexYDUy7Q/9uocGsx41O4IZhViw/2FvAEuGO5g2kyXBUijAggWM08bRhXg5ijgMwDJy40QeY/cQpUDZiIzmvskQpO5G1zyGZA8WByjIQU4jRoFJt56behxtHUUE/om7Rj2psYXGmq3llVOCgGYKNMo4pzwntITtapDqjvQtqpjaJwjHmDzSVGLxMt12gEXAdLi/caHSM3FPRGRf7dB7YC+cD2ho6oL2zGDCkjlf/DFoQVl8GS/56wur3rdV6ggtzZW60MRB3g+U1W8o8cvqIpMkctiGVMzXUFI7FacFLrgtdz4mTEr4aRAaQ2AFQaNeG7GX0yOJgMRYFziXdJf24kg/gBQIZMG/YcPEllRTVNoDYR6oSJ8wQNLuihfw81UpiKPm714bZX1KYjcXJdfclCUOOpvTxr9AAJevTY4HK/G7F3mUc3GOAKqh60zM0v34v+ELyhJZqhkaMA8UMMOU90f8RKEJFj7EqepBVwsRiLbwMo1J2zrE2UYJnsgIAscDmjPjnzI8a719Wxp757wqmSJBjXowhc46QN4RwKIxqEE6E5218OeK7RfcpGjWG1jD7qND+/GTk6M56Ig4yMsU6LUW1EWE+fIYycVV1thldSlbP6ltdC01y3KUfkobkt2q01YYMmxpKRvh1Z48uNKzP/IoRIZ/F6buOymSnW8gICitpJjKWBscSb9JJKaWkvEkqinAJ2kowKoqkqZftRqfRQlLtKoqvTRDi2vg/RrPD/d3a09J8JhGZlEkOM6znTsoMCsuvTmywxTCDhw5dd0GJOHCMPbsj3QLkTE3MInsZsimDQ3HkvthT7U9VA4s6G07sID0FW4SHJmRGwCl+Mu4xf0ezqeXD2PtPDnwMPo86sbwDV+9PWcgFcARUVYm3hrFQrHcgMElFGbSM2A1zUYA3baWfheJp2AINmTJLuoyYD/OwA4a6V0ChBN97E8YtDBerUECv0u0TlxR5yhJCXvJxgyM73Bb6pyq0jTFJDZ4p1Am1SA6sh8nADd1hAcGBMfq4d/UfwnmBqe0Jun1n1LzrgKuZMAnxA3NtCN7Klf4BH+14B7ibBmgt0TGUafVzI4uKlpF7v8NmgNjg90D6QE3tbx8AjSAC+OA1YJvclyPKgT27QpIEgVYpbPYGBsnyCNrGz9XUsCHkW1QAHgL2STZk12QGqmvAB0NFteERkvBIH7INDsNW9KKaAYyDMdBEMzJiWaJHZALqDxQDWRntumSDPcplyFiI1oDpT8wbwe01AHhW6+vAUUBoGhY3CT2tgwehdPqU/4Q7ZLYvhRl/ogOvR9O2+wkkPKW5vCTjD2fHRYXONCoIl4Jh1bZY0ZE1O94mMGn/dFSWBWzQ/VYk+Gezi46RgiDv3EshoTmMSlioUK6MQEN8qeyK6FRninyX8ZPeUWjjbMJChn0n/yJvrq5bh5UcCAcBYSafTFg7p0jDgrXo2QWLb3WpSOET/Hh4oSadBTvyDo10IufLzxiMLAnbZ1vcUmj3w7BQuIXjEZXifwukVxrGa9j+DXfpi12m1RbzYLg9J2wFergEwOxFyD0/JstNK06ZN2XdZSGWxcJODpQHOq4iKqjqkJUmPu1VczL5xTGUfCgLEYyNBCCbMBFT/cUP6pE/mujnHsSDeWxMbhrNilS5MyYR0nJyzanWXBeVcEQrRIhQeJA6Xt4f2eQESNeLwmC10WJVHqwx8SSyrtAAjpGjidcj1E2FYN0LObUcFQhafUKTiGmHWRHGsFCB+HEXgrzJEB5bp0QiF8ZHh11nFX8AboTD0PS4O1LqF8XBks2MpjsQnwKHF6HgaKCVLJtcr0XjqFMRGfKv8tmmykhLRzu+vqQ02+KpJBjaLt9ye1Ab+BbEBhy4EVdIJDrL2naV0o4wU8YZ2Lq04FG1mWCKC+UwkXOoAjneU/xHplMQo2cXUlrVNqJYczgYlaOEczVCs/OCgkyvLmTmdaBJc1iBLuKwmr6qtRnhowngsDxhzKFAi02tf8bmET8BO27ovJKF1plJwm3b0JpMh38+xsrXXg7U74QUM8ZCIMOpXujHntKdaRtsgyEZl5MClMVMMMZkZLNxH9+b8fH6+b8Lev30A9TuEVj9CqAdmwAAHBPbfOBFEATAPZ2CS0OH1Pj/0Q7PFUcC8hDrxESWdfgFRm+7vvWbkEppHB4T/1ApWnlTIqQwjcPl0VgS1yHSmD0OdsCVST8CQVwuiew1Y+g3QGFjNMzwRB2DSsAk26cmA8lp2wIU4p93AUBiUHFGOxOajAqD7Gm6NezNDjYzwLOaSXRBYcWipTSONHjUDXCY4mMI8XoVCR/Rrs/JLKXgEx+qkmeDlFOD1/yTQNDClRuiUyKYCllfMiQiyFkmuTz2vLsBNyRW+xz+5FElFxWB28VjYIGZ0Yd+5wIjkcoMaggxswbT0pCmckRAErbRlIlcOGdBo4djTNO8FAgQ+lT6vPS60BwTRSUAM3ddkEAZiwtEyArrkiDRnS7LJ+2hwbzd2YDQagSgACpsovmjil5wfPuXq3GuH0CyE7FK3M4FgRaFoIkaodORrPx1+JpI9psyNYIFuJogZa0/1AhOWdlHQxdAgbwacsHqPZo8u/ngAH2GmaTdhYnBfSDbBfh8CHq6Bx5bttP2+RdM+MAaYaZ0Y/ADkbNCZuAyAVQa2OcXOeICmDn9Q/eFkDeFQg5MgHEDXq/tVjj+jtd26nhaaolWxs1ixSUgOBwrDhRIGOLyOVk2/Bc0UxvseQCO2pQ2i+Krfhu/WeBovNb5dJxQtJRUDv2mCwYVpNl2efQM9xQHnK0JwLYt/U0Wf+phiA4uw8G91slC832pmOTCAoZXohg1fewCZqLBhkOUBofBWpMPsqg7XEXgPfAlDo2U5WXjtFdS87PIqClCK5nW6adCeXPkUiTGx0emOIDQqw1yFYGHEVx20xKjJVYe0O8iLmnQr3FA9nSIQilUKtJ4ZAdcTm7+ExseJauyqo30hs+1qSW211A1SFAOUgDlCGq7eTIcMAeyZkV1SQJ4j/e1Smbq4HcjqgFbLAGLyKxlMDMgZavK5NAYH19Olz3la/QCTiVelFnU6O/GCvykqS/wZJDhKN9gBtSOp/1SP5VRgJcoVj+kmf2wBgv4gjrgARBWiURYx8xENV3bEVUAAWWD3dYDKAIWk5opaCFCMR5ZjJExiCAw7gYiSZ2rkyTce4eNMY3lfGn+8p6+vBckGlKEXnA6Eota69OxDO9oOsJoy28BXOR0UoXNRaJD5ceKdlWMJlOFzDdZNpc05tkMGQtqeNF2lttZqNco1VtwXgRstLSQ6tSPChgqtGV5h2DcDReIQadaNRR6AsAYKL5gSFsCJMgfsaZ7DpKh8mg8Wz8V7H+gDnLuMxaWEIUPevIbClgap4dqmVWSrPgVYCzAoZHIa5z2Ocx1D/GvDOEqMOKLrMefWIbSWHZ6jbgA8qVBhYNHpx0P+jAgN5TB3haSifDcApp6yymEi6Ij/GsEpDYUgcHATJUYDUAmC1SCkJ4cuZXSAP2DEpQsGUjQmKJfJOvlC2x/pChkOyLW7KEoMYc5FDC4v2FGqSoRWiLsbPCiyg1U5yiHZVm1XLkHMMZL11/yxyw0UnGig3MFdZklN5FI/qiT65T+jOXOdO7XbgWurOAZR6Cv9uu1cm5LjkXX4xi6mWn5r5NjBS0gTliHhMZI2WNqSiSphEtiCAwnafS11JhseDGHYQ5+bqWiAYiAv6Jsf79/VUs4cIl+n6+WOjcgB/2l5TreoAV2717JzZbQIR0W1cl/dEqCy5kJ3ZSIHuU0vBoHooEpiHeQWVkkkOqRX27eD1FWw4BfO9CJDdKoSogQi3hAAwsPRFrN5RbX7bqLdBJ9JYMohWrgJKHSjVl1sy2xAG0E3sNyO0oCbSGOxCNBRRXTXenYKuwAoDLfnDcQaCwehUOIDiHAu5m5hMpKeKM4sIo3vxACakIxKoH2YWF2QM84e6F5C5hJU4g8uxuFOlAYnqtwxmHyNEawLW/PhoawJDrGAP0JYWHgAVUByo/bGdiv2T2EMg8gsS14/rAdzlOYazFE7w4OzxeKiWdm3nSOnQRRKXSlVo8HEAbBfyJMKqoq+SCcTSx5NDtbFwNlh8VhjGGDu7JG5/TAGAvniQSSUog0pNzTim8Owc6QTuSKSTXlQqwV3eiEnklS3LeSXYPXGK2VgeZBqNcHG6tZHvA3vTINhV0ELuQdp3t1y9+ogD8Kk/W7QoRN1UWPqM4+xdygkFDPLoTaumKReKiLWoPHOfY54m3qPx4c+4pgY3MRKKbljG8w4wvz8pxk3AqKsy4GMAkAtmRjRMsCxbb4Q2Ds0Ia9ci8cMT6DmsJG00XaHCIS+o3F8YVVeikw13w+OEDaCYYhC0ZE54kA4jpjruBr5STWeqQG6M74HHL6TZ3lXrd99ZX++7LhNatQaZosuxEf5yRA15S9gPeHskBIq3Gcw81AGb9/O53DYi/5CsQ51EmEh8Rkg4vOciClpy4d04eYsfr6fyQkBmtD+P8sNh6e+XYHJXT/lkXxT4KXU5F2sGxYyzfniMMQkb9OjDN2C8tRRgTyL7GwozH14PrEUZc6oz05Emne3Ts5EG7WolDmU8OB1LDG3VrpQxp+pT0KYV5dGtknU64JhabdqcVQbG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) 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<h1 class="title toc-ignore">Master File: All Stata and R Scripts</h1>
<h4 class="author">Valentina Gonzalez Rostani</h4>
<h4 class="date">2024-08-24</h4>

</div>

<div id="TOC">
<ul>
<li><a href="#overvie-of-this-file" id="toc-overvie-of-this-file">Overvie of this file</a></li>
<li><a href="#motivation-figures-4_1_figures_issp.do" id="toc-motivation-figures-4_1_figures_issp.do">Motivation Figures
[4_1_Figures_ISSP.do]</a>
<ul>
<li><a href="#figure-1-relative-share-of-labor-force-1995-to-2014" id="toc-figure-1-relative-share-of-labor-force-1995-to-2014">Figure 1:
Relative Share of Labor Force 1995 to 2014</a></li>
<li><a href="#figure-2-electoral-consequences-routine-and-non-routine-voters" id="toc-figure-2-electoral-consequences-routine-and-non-routine-voters">Figure
2: Electoral consequences, Routine and Non-Routine Voters</a></li>
</ul></li>
<li><a href="#vote-switching-across-institutions" id="toc-vote-switching-across-institutions">Vote-switching across
Institutions</a>
<ul>
<li><a href="#us-1_1_switching_us.do" id="toc-us-1_1_switching_us.do">US
[1_1_Switching_US.do]</a>
<ul>
<li><a href="#figure-3-the-effect-of-exposure-to-automation-on-vote-switching.-us-part" id="toc-figure-3-the-effect-of-exposure-to-automation-on-vote-switching.-us-part">Figure
3: The effect of exposure to automation on vote-switching. [US
Part]</a></li>
<li><a href="#table-a3-switching-vote-iv---rti-us" id="toc-table-a3-switching-vote-iv---rti-us">Table A3: Switching Vote,
IV - RTI, US</a></li>
<li><a href="#table-a5-switching-vote-alternative-definition-iv---rti" id="toc-table-a5-switching-vote-alternative-definition-iv---rti">Table
A5: Switching Vote (alternative definition), IV - RTI</a></li>
<li><a href="#table-a6-switching-vote-iv---routine-dummy-us" id="toc-table-a6-switching-vote-iv---routine-dummy-us">Table A6:
Switching Vote, IV - Routine (dummy), US</a></li>
<li><a href="#table-a1-descriptive-statistic-usa-gss-2016-vs-2012" id="toc-table-a1-descriptive-statistic-usa-gss-2016-vs-2012">Table A1:
Descriptive statistic: USA GSS 2016 vs 2012</a></li>
</ul></li>
<li><a href="#germany-1_2_switching_germany.do" id="toc-germany-1_2_switching_germany.do">Germany
[1_2_Switching_Germany.do]</a>
<ul>
<li><a href="#figure-3-the-effect-of-exposure-to-automation-on-vote-switching.-german-part" id="toc-figure-3-the-effect-of-exposure-to-automation-on-vote-switching.-german-part">Figure
3: The effect of exposure to automation on vote-switching. [German
Part]</a></li>
<li><a href="#table-a4-switching-vote-only-left---germany-iv---rti" id="toc-table-a4-switching-vote-only-left---germany-iv---rti">Table A4:
Switching Vote (Only left) - Germany, IV - RTI</a></li>
<li><a href="#table-a7-switching-vote-from-establishment-left-and-right-to-populist-right-iv---rti-german" id="toc-table-a7-switching-vote-from-establishment-left-and-right-to-populist-right-iv---rti-german">Table
A7: Switching Vote From Establishment Left and Right to Populist Right,
IV - RTI, German</a></li>
<li><a href="#table-a8-switching-vote-iv---routine-dummy-germany" id="toc-table-a8-switching-vote-iv---routine-dummy-germany">Table A8:
Switching Vote, IV - Routine (dummy), Germany</a></li>
<li><a href="#table-a9-switching-vote-only-from-the-right-iv---rti" id="toc-table-a9-switching-vote-only-from-the-right-iv---rti">Table A9:
Switching Vote (Only from the Right), IV - RTI</a></li>
<li><a href="#table-a2-descriptive-statistic-germany-soep-2014-vs-2018." id="toc-table-a2-descriptive-statistic-germany-soep-2014-vs-2018.">Table
A2: Descriptive statistic: Germany SOEP 2014 vs 2018.</a></li>
</ul></li>
<li><a href="#additional-context-of-switching-in-germany-1_3_switching_appendix_spoonkluver.do" id="toc-additional-context-of-switching-in-germany-1_3_switching_appendix_spoonkluver.do">Additional
Context of Switching in Germany
[1_3_Switching_Appendix_SpoonKluver.do]</a>
<ul>
<li><a href="#table-a10-switching-in-germany-from-mainstream-to-non-mainstream-parties-2002-2009" id="toc-table-a10-switching-in-germany-from-mainstream-to-non-mainstream-parties-2002-2009">Table
A10: Switching in Germany from mainstream to non-mainstream parties
2002-2009</a></li>
</ul></li>
<li><a href="#switching-cross-sectional-based-on-ess-1_4_switching_appendix_ess.do" id="toc-switching-cross-sectional-based-on-ess-1_4_switching_appendix_ess.do">Switching
Cross-sectional based on ESS [1_4_Switching_Appendix_ESS.do]</a>
<ul>
<li><a href="#table-a11-switching-in-western-european-countries-from-mainstream-left-to-outsider-radical-right-parties-2002-2018" id="toc-table-a11-switching-in-western-european-countries-from-mainstream-left-to-outsider-radical-right-parties-2002-2018">Table
A11: Switching in Western European Countries from Mainstream Left to
Outsider Radical Right parties 2002-2018</a></li>
</ul></li>
</ul></li>
<li><a href="#messaging-and-targeting-strategies-candidate-rhetoric-and-party-platforms" id="toc-messaging-and-targeting-strategies-candidate-rhetoric-and-party-platforms">Messaging
and Targeting Strategies: Candidate Rhetoric and Party Platforms</a>
<ul>
<li><a href="#majoritarian-systems-messaging-and-targeting-strategies-in-the-us" id="toc-majoritarian-systems-messaging-and-targeting-strategies-in-the-us">Majoritarian
Systems: Messaging and Targeting Strategies in the US</a>
<ul>
<li><a href="#topic-analysis-2_3_speech_us_germany_appendix_nmf.ipynb" id="toc-topic-analysis-2_3_speech_us_germany_appendix_nmf.ipynb">Topic
Analysis [2_3_Speech_US_Germany_Appendix_NMF.ipynb]</a></li>
<li><a href="#rallies-2_1_rally_us.do" id="toc-rallies-2_1_rally_us.do">Rallies [2_1_Rally_US.do]</a>
<ul>
<li><a href="#table-1-trumps-campaign-strategy" id="toc-table-1-trumps-campaign-strategy">Table 1: Trump’s Campaign
Strategy</a></li>
<li><a href="#table-a13-trumps-campaing-strategy-close-election-10" id="toc-table-a13-trumps-campaing-strategy-close-election-10">Table A13:
Trump’s Campaing Strategy (Close election 10)</a></li>
<li><a href="#table-a14-trumps-campaing-strategy-forecasting-2016" id="toc-table-a14-trumps-campaing-strategy-forecasting-2016">Table A14:
Trump’s Campaing Strategy (Forecasting 2016)</a></li>
<li><a href="#table-a12-summary-statistics-of-variables-used-in-this-study-about-trumps-campaign-strategies-rallies" id="toc-table-a12-summary-statistics-of-variables-used-in-this-study-about-trumps-campaign-strategies-rallies">Table
A12: Summary statistics of variables used in this study about Trump’s
campaign strategies: rallies</a></li>
</ul></li>
<li><a href="#campaign-rhetoric-preparing-2_0_speech_us_dictionaries.ipynb" id="toc-campaign-rhetoric-preparing-2_0_speech_us_dictionaries.ipynb">Campaign
Rhetoric Preparing [2_0_Speech_US_dictionaries.ipynb]</a></li>
<li><a href="#campaign-rhetoric-analysis-2_2_speech_us.do" id="toc-campaign-rhetoric-analysis-2_2_speech_us.do">Campaign Rhetoric
Analysis [2_2_Speech_US.do]</a>
<ul>
<li><a href="#table-2-trumps-campaign-strategy-speeches" id="toc-table-2-trumps-campaign-strategy-speeches">Table 2: Trump’s
Campaign Strategy: Speeches</a></li>
<li><a href="#table-a15-trumps-campaing-strategy-speeches-total-count" id="toc-table-a15-trumps-campaing-strategy-speeches-total-count">Table
A15: Trump’s Campaing Strategy: Speeches (Total count)</a></li>
</ul></li>
</ul></li>
<li><a href="#pritm-systems-time-series-cross-sectional-evidence-on-messaging" id="toc-pritm-systems-time-series-cross-sectional-evidence-on-messaging">PRITM
Systems: Time-Series-Cross-Sectional Evidence on Messaging</a>
<ul>
<li><a href="#cmp-main-analysis-3_2_cmp_pritm.do" id="toc-cmp-main-analysis-3_2_cmp_pritm.do">CMP main analysis
[3_2_CMP_PRITM.do]</a>
<ul>
<li><a href="#table-3-pritm-partisan-polarization-over-redistribution-and-fixed-attributes" id="toc-table-3-pritm-partisan-polarization-over-redistribution-and-fixed-attributes">Table
3: PRITM: Partisan Polarization over Redistribution and Fixed
Attributes</a></li>
<li><a href="#table-a19-partisan-polarization-over-redistribution-and-fixed-attributes-different-cut-off" id="toc-table-a19-partisan-polarization-over-redistribution-and-fixed-attributes-different-cut-off">Table
A19: Partisan Polarization over Redistribution and Fixed Attributes
Different Cut-Off</a></li>
<li><a href="#table-a20-alternative-measures-of-partisan-polarization-over-fixed-attributes-between-mainstream-left-and-right-populist" id="toc-table-a20-alternative-measures-of-partisan-polarization-over-fixed-attributes-between-mainstream-left-and-right-populist">Table
A20: Alternative measures of Partisan Polarization over Fixed Attributes
between Mainstream Left and Right-Populist</a></li>
<li><a href="#table-a18-descriptive-statistic-pritm-1970-2019" id="toc-table-a18-descriptive-statistic-pritm-1970-2019">Table A18:
Descriptive statistic: PRITM 1970-2019</a></li>
</ul></li>
<li><a href="#cmp-appendix---average-distance-3_3_cmp_pritm_appendix_average.do" id="toc-cmp-appendix---average-distance-3_3_cmp_pritm_appendix_average.do">CMP
Appendix - average distance [3_3_CMP_PRITM_Appendix_Average.do]</a>
<ul>
<li><a href="#table-a21-partisan-polarization-over-redistribution-and-fixed-attributes" id="toc-table-a21-partisan-polarization-over-redistribution-and-fixed-attributes">Table
A21: Partisan Polarization over Redistribution and Fixed
Attributes</a></li>
</ul></li>
<li><a href="#cmp-appendix---dalton-index-3_4_cmp_pritm_appendix_dalton.do" id="toc-cmp-appendix---dalton-index-3_4_cmp_pritm_appendix_dalton.do">CMP
Appendix - Dalton index [3_4_CMP_PRITM_Appendix_Dalton.do]</a>
<ul>
<li><a href="#table-a22-partisan-polarization-over-redistribution-and-fixed-attributes-dalton-index" id="toc-table-a22-partisan-polarization-over-redistribution-and-fixed-attributes-dalton-index">Table
A22: Partisan Polarization over Redistribution and Fixed Attributes,
Dalton Index</a></li>
</ul></li>
<li><a href="#cmp-appendix---er-3_5_cmp_pritm_appendix_er.do" id="toc-cmp-appendix---er-3_5_cmp_pritm_appendix_er.do">CMP Appendix -
ER [3_5_CMP_PRITM_Appendix_ER.do]</a>
<ul>
<li><a href="#table-a23-partisan-polarization-over-redistribution-and-fixed-attributes" id="toc-table-a23-partisan-polarization-over-redistribution-and-fixed-attributes">Table
A23: Partisan Polarization over Redistribution and Fixed
Attributes</a></li>
</ul></li>
</ul></li>
<li><a href="#pritm-systems-campaign-message-and-targeting-strategies-in-germany" id="toc-pritm-systems-campaign-message-and-targeting-strategies-in-germany">PRITM
Systems: Campaign Message and Targeting Strategies in Germany</a>
<ul>
<li><a href="#topic-analysis-2_3_speech_us_germany_appendix_nmf.ipynb-1" id="toc-topic-analysis-2_3_speech_us_germany_appendix_nmf.ipynb-1">Topic
Analysis [2_3_Speech_US_Germany_Appendix_NMF.ipynb]</a></li>
<li><a href="#targeting-strategies-electoral-performance-across-districts-3_0_regional_germany_hateincidents.rmd-3_1_regional_germany.do" id="toc-targeting-strategies-electoral-performance-across-districts-3_0_regional_germany_hateincidents.rmd-3_1_regional_germany.do">Targeting
Strategies: Electoral Performance Across Districts
[3_0_Regional_Germany_HateIncidents.rmd] &amp;
[3_1_Regional_Germany.do]</a>
<ul>
<li><a href="#regional_germany_hateincidents.rmd" id="toc-regional_germany_hateincidents.rmd">[3_0_Regional_Germany_HateIncidents.rmd]</a></li>
<li><a href="#regional_germany.do" id="toc-regional_germany.do">[3_1_Regional_Germany.do]</a>
<ul>
<li><a href="#table-4-afd-performance" id="toc-table-4-afd-performance">Table 4: AfD Performance</a></li>
<li><a href="#table-a16-summary-statistics-of-variables-used-in-this-study-about-afd-regional-performance" id="toc-table-a16-summary-statistics-of-variables-used-in-this-study-about-afd-regional-performance">Table
A16: Summary statistics of variables used in this study about AfD
regional performance</a></li>
</ul></li>
</ul></li>
</ul></li>
</ul></li>
<li><a href="#appendix-figures" id="toc-appendix-figures">Appendix
Figures</a>
<ul>
<li><a href="#figures_issp.do" id="toc-figures_issp.do">[4_1_Figures_ISSP.do]</a>
<ul>
<li><a href="#figure-a3-importance-of-job-security-difficulties-to-find-a-new-job-concerns-about-losing-the-job-and-job-dissatisfaction" id="toc-figure-a3-importance-of-job-security-difficulties-to-find-a-new-job-concerns-about-losing-the-job-and-job-dissatisfaction">Figure
A3: Importance of job security, Difficulties to find a new job, Concerns
about losing the job and Job dissatisfaction</a></li>
</ul></li>
<li><a href="#figures_appendix_ess.do" id="toc-figures_appendix_ess.do">[4_2_Figures_Appendix_ESS.do]</a>
<ul>
<li><a href="#figure-a2-share-routine-and-non-routine-2002-2018" id="toc-figure-a2-share-routine-and-non-routine-2002-2018">Figure A2:
Share routine and non-routine 2002-2018</a></li>
</ul></li>
<li><a href="#figures_appendix_ches.do" id="toc-figures_appendix_ches.do">[4_3_Figures_Appendix_CHES.do]</a>
<ul>
<li><a href="#figure-a4-number-of-radical-right-parties-in-the-party-system" id="toc-figure-a4-number-of-radical-right-parties-in-the-party-system">Figure
A4: Number of Radical Right Parties in the Party System</a></li>
</ul></li>
<li><a href="#figures_appendix_cmp.do" id="toc-figures_appendix_cmp.do">[4_4_Figures_Appendix_CMP.do]</a>
<ul>
<li><a href="#figure-a5-number-of-nationalist-parties-in-elections" id="toc-figure-a5-number-of-nationalist-parties-in-elections">Figure A5:
Number of Nationalist Parties in Elections</a></li>
</ul></li>
<li><a href="#figures_appendix_stockrobots.do" id="toc-figures_appendix_stockrobots.do">[4_5_Figures_Appendix_StockRobots.do]</a>
<ul>
<li><a href="#figure-a1-stock-of-robots-per-thousand-of-workers-base-1993" id="toc-figure-a1-stock-of-robots-per-thousand-of-workers-base-1993">Figure
A1: Stock of robots per thousand of workers base 1993</a></li>
</ul></li>
</ul></li>
</ul>
</div>

<div id="overvie-of-this-file" class="section level1">
<h1>Overvie of this file</h1>
<p>This file contains most of the code and data needed to replicate
results in Gonzalez-Rostani (2024) “Elections, Right-wing Populism, and
Political-Economic Polarization: The Role of Institutions and Political
Outsiders.” The structure of the file is based on each one of the files
(scripts, do-files, rmd) that can be found in the folder
<code>do</code>. All of the replication instructions assume that you set
the working directory to the same folder as the <code>Master.rmd</code>
or `Master.pdf`` files.</p>
<p>How this file is organized?</p>
<ul>
<li>Each section refers to a code file.</li>
<li>At the beginning the inputs, and outputs are explained.</li>
<li>Subsections are used to refer to the number/title of the Figure or
Table generated.</li>
<li>This directory contains all the code used in the analysis. The files
are categorized based on their relevance to different sections of the
study:
<ul>
<li>Files starting with <code>1_</code> correspond to analyses related
to the <strong>Vote-switching across Institutions</strong> section.</li>
<li>Files starting with <code>2_</code> pertain to the <strong>Messaging
and Targeting Strategies: Candidate Rhetoric and Party
Platforms</strong> section, specifically focusing on
<strong>Majoritarian Systems</strong> (e.g., US analyses).</li>
<li>Files starting with <code>3_</code> also relate to the
<strong>Messaging and Targeting Strategies</strong> section but focus on
<strong>PRITM Systems</strong>.</li>
<li>Files starting with <code>4_</code> contain code for <strong>Figures
that provide context and additional details</strong> but do not directly
reflect results.</li>
</ul></li>
</ul>
<p><strong>NOTE</strong>: This code does not include files jupyter
notebooks:</p>
<ul>
<li><code>2_0_Speech_US_dictionaries.ipynb</code></li>
<li><code>2_3_Speech_US_Germany_Appendix_NMF.ipynb</code></li>
</ul>
<p>Refer to these files directly in the <code>do</code> folder.</p>
<p>If you prefer to see each file individually go to the folder
<code>do</code>.</p>
</div>
<div id="motivation-figures-4_1_figures_issp.do" class="section level1">
<h1>Motivation Figures [4_1_Figures_ISSP.do]</h1>
<p>This do-file:</p>
<ul>
<li>Creates Figure 1, 2 and A3 using data from ISSP.</li>
</ul>
<p>Input:</p>
<ul>
<li><code>Data\Figures_ISSP.dta</code></li>
</ul>
<p>Output:</p>
<ul>
<li>Figure 1: Relative Share of Labor Force 1995 to 2014
[<code>Figures\Relative Share of Labor Force 1998 to 2014 ISSP.pdf</code>]</li>
<li>Figure 2: Electoral consequences, Routine and Non-Routine Voters
[<code>Figure/price_by_mpg.pdf</code>]</li>
<li>Figure A3: Importance of job security, Difficulties to find a new
job, Concerns about losing the job and Job dissatisfaction
[<code>Figure/jobdisatisfactionpredictedtogetherall.pdf</code>]</li>
</ul>
<pre class="stata"><code>*##########################################
* Load  data
*##########################################

use &quot;Data\Figures_ISSP.dta&quot;, clear 
    </code></pre>
<div id="figure-1-relative-share-of-labor-force-1995-to-2014" class="section level3">
<h3>Figure 1: Relative Share of Labor Force 1995 to 2014</h3>
<pre class="stata"><code>*******************************************************************************
* Graphs
*******************************************************************************
* Graph style for F1 &amp; 2
{
grstyle clear
set scheme s2color
grstyle init
grstyle set plain, box
grstyle color background white
grstyle color major_grid gs8
grstyle linepattern major_grid dot
}
// Figure 1: Relative Share of Labor Force 1995 to 2014
{
    * Generating summary statistics with three task categories:
    * Task 1, Task 2, and Task 33 following Autor (2003) and coded by Kurer and Gallego (2019)
    
    * Preserve the current dataset in memory so it can be restored later
    preserve 
    
    * Collapse the data to calculate the mean of task1, task2, and task33 weighted by &#39;weight&#39; for each year
    collapse task1 task2 task33 [aw=weight], by(year)
    
    * Keep only the observations where the year is greater than 1997 to look post automation shock
    keep if year &gt; 1997
    
    * Create a line graph for the task categories over time
    * The first line represents Non-Routine Cognitive tasks (green line)
 graph twoway line  task1 year if year&gt;1997, lc(green) legend(label(1 &quot;Non-Routine Cognitive&quot;)) || ///
  line  task2 year if year&gt;1997, lc(red) legend(label(2 &quot;Routine&quot;)) || ///
    line  task33 year if year&gt;1997, lc(blue) legend(label(3 &quot;Non-Routine Manual&quot;)) 

    
    * Export the graph as a PDF file with the specified name, replacing any existing file
    graph export &quot;Figure\RelativeShareofLaborForce1998to2014ISSP.pdf&quot;, as(pdf) replace
    
    * Restore the original dataset that was in memory before the collapse
    restore
}</code></pre>
<pre><code>(3 observations deleted)
file Figure\RelativeShareofLaborForce1998to2014ISSP.pdf saved as PDF format</code></pre>
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5Ii9ovggHlrAHeHwRDmxhD/D4Ihw4agvg6GxxzBdxcDW2OOaLvGBFOq9g3qE4Fem8gnWG4lSk8z4OGaE4Fem8gvPbQQq7B3h8EQc3uwd4fJEXNF+EA2vYAzy+CAe2sAd4fBEOHCtcAcwX4cA1whXAfBEKNF/kBXti5yqPL+JgYScrjy/iYGNnK48v4uBgpyuPL+LgYvcAjy/yguaLUKD5Ig5mdg/w+CIO1sleAcwXcbAP9gpgvoiDs7PFGTvH4uzKFsd8kRecmZ22PL6Ig5Wdtzy+iIONnbg8voiDg525PL6Ig4veA5gv8oLmi3BgiXsA80U4sMU9gPkiHNjjHsB8EQ6cM1wBzBfhwD1icTY7gXl8kRfcmZ3BPL6Ig5Wdwjy+iIOdncM8voiDk53EPL6Ig5vdAzy+yAM+vggHlrAHeHwRDmxhD/D4Ihw4wh7g8UU4cAWh4vFFKNB8kRfMiZ3LqC9yNsbngR5fxBbXlnMO0DHxRThMfBHHxBfhMPFFHBNfhMLUF3kx9UU4THwRx8QX4TDxRRwTX4TDxBdxTHwRDpORtWPii1CY+iIvpr4Ih8nI2jHxRThMRtaOiS/CYeKLOCa+CIeJL+KY+CIcJr6IY+KLUJj6Ii+mvgiHiS/iGMJ3w8QXcQzhu2HiizgmvgiHycjaMfFFKEx9kRdTX4TDZGTtmPgiHCYja8fEF+Ew8UUcE1+Ew8QXcQzhu2Dqi7zYRPhumPgijiF8N0x8EccQvhsmvohj4otwmPgijokvwmEyp3ZMfBEKU1/kxdQX4TCZUTsmvgiHyYTaMfFFOEx8EcfEF+Ew8UUcQ/gumPoiL7YRvhsmvohjCN8NE1/EMYTvhokv4thge7f6Io4ttnerL/Ji5otQnPkiADPbvs0XASi+CAnKRBqg+CIkKL4IQPFFSFB8EYDI4Q1UX8TBjCReQfFFACKLV1B8EYBI4xUUXwTgYNu5+SIAF9vQzRdxUH0REiyhp5svQoI1dHXzRUhQJtIAR2KLo74IwLnp4ogvAhDpvIHqizhYkc4rKL4IQKTzCoovAhDpvILiiwCcbJM3XwTgZtu8+SIOqi9CgiV0evNFSLCFXm++CAnKRBrg6Gxx1BcBuBpbHPVFHOxI5xUUXwQg0nkF6wzF6UjnFewjFKcjnVdwtlAc9UVIcIfeb74IB6ov4qD6IiRYQ/83X4QEW9gBmC9CguKLAJyJLY76IgCRzhuovoiDE+m8guKLAEQ6r2AroTgT6byCI4XiTKTzCs4diqO+CAnuuAdQX4QD1RcBmOk9gPoiAOtkrwDqiwDsg70CqC8CcDa2OOqLAEQ6b6D6Ig5upPMKlhWKs5HOK9hmKM5GOq/g6KE46ouQ4GqhOOqLUKD5Ii9ovggJlrAHMF+EBFvYA5gvQoIykQY4Mlkc80UAii9CgrvH4iCdN1B9EQcz0nkFaw3FyUjnFew5FCcjnVdwplAc9UVIcK1QHPVFOFB9EQfVFyHBEvYA5ouQYAt7APNFSHDUFsDR2eKoLwJwNbY46os4WJHOK5h3KE5FOq9gnaE4Fem8j0NGKE5FOq/g/HaQwu4BzBcBuNk9gPkiDqovQoI17AHMFyHBFvYA5ouQ4FjhCqC+CAmuEa4A6otwoPoiDvbEzlXMFwFY2MmK+SIAGztbMV8E4GCnK+aLAFzsHsB8EQfVF+FA9UUAZnYPYL4IwDrZK4D6IgD7YK8A6osAnJ0tjvoiAHdli6O+iIMzs9MW80UAVnbeYr4IwMZOXMwXATjYmYv5IgAXvQdQX8RB9UVIsMQ9gPoiJNjiHkB9ERLscQ+gvggJzhmuAOqLkOAesTibncCYL+LgzuwMxnwRgJWdwpgvArCzcxjzRQBOdhJjvgjAze4BzBd5QfNFSLCEPYD5IiTYwh7AfBESHGEPYL4ICa4gVJgvwoHqiziY0zdzmbG/ZNz594/8+dePBF7Hd0lNIxE5fvpY+tdWZtnyc2z2EtFutXPa/ygf/YsUes7lKqvTcvpZ1SpCSq5bBLl1+oCs7K9bTZNVzj2LIXqyI08lnxNsne+UE/tHebMiAv+WN9tnVfRvBi75CONH2XGJyKTvp8+qZxHvz1vWJqvRxeRbs+tqqoC0ZVJzVtsGzln/aZVTejHwtkwltYLn+LN+pXj0tfbtR3+uu82PXj6YwdGnqvfzHP35peHoZVOMo8/ymZUffW56TM/Rp661eI7+nNTh6HM/x+JHn2QP+B79qfzyg9+nj/mx76RP0g59rrn8yNd5Vt8cuBx2xoGncfYY74Gnoa+fHXhqIxx4riO87DI/woGnbCfBc+CHDAde4ssur184cPl41g/8hGvjwPPQ1+B52eWjdLzspfSOl70UK9+2n2NiJ8/zshf5jPE9+ja+zh7uZCC9r72qUkPevf70aFNnCzwf4Jvv8R8tG35+1d8+fvOH/LlO6n7488cfz/K3P8TfsXv4+S8fUu9/kfMtD/kpdb3mr7VPCT5/+OnjX1Mqv0+pln/7/OGvH7//4dzPt48c/mnU+G8ifd9jn5NrpK9T33MZCw9ef/XB8fdsomD3nQ9+dijl67xvOCkND95+7cHDhzbxav19D17k/1/ppLnEB++/9uDPSVFliGiLb08K0bPeE0dvy+X2n3l6dv0516mU19fq5bTSLmKaPTm5mNf9fP3Sk9SIPk/Abn/vE1inw3wN2drGxy/nK71fv/D4lu7nCTyL730Gua9avnaXzwJ+7Tn88gs1S4ivLr77ZTj70P51rk7nXPul55B/pQ52nXnPFlt893M4L2T5OnuT8+bx155DqMM/XeY26v7KVc7o1s4pY3ffZVd1LqunfOctdUpyiZ3ntDvL1LetR5Y/x0NnuTsL2VOHIVfWrHZm0tHFeUP4+fOfPv58/mTMryLXHGkN781yTu391XqXPct5mHNznAgcIuxV/mGfMpbcveh855yXa5Helkp7Mz9pkn23fU85hzrwTd749H5OFeZ7P3rbXrFbDVOTDzrGfi9h7VxFxh/O1/m1/E4+l7a1VrSd29v+TKooFW31+f75/P7G91n14wt8O2HqkI8I8Wx+/dH/iXu1Y8zyqdl3HuPv7IyR35vP2TP+Hc/gfwFwJ4q0CmVuZHN0cmVhbQplbmRvYmoKNiAwIG9iago1NTk5CmVuZG9iago3IDAgb2JqCjw8Ci9UeXBlIC9Gb250Ci9CYXNlRm9udCAvSFBERkFBK0dlb3JnaWEKL1N1YnR5cGUgL1R5cGUwCi9FbmNvZGluZyAvSWRlbnRpdHktSAovVG9Vbmljb2RlIDggMCBSCi9EZXNjZW5kYW50Rm9udHMgWyAxMCAwIFIgXQo+PgplbmRvYmoKOCAwIG9iago8PAovTGVuZ3RoIDkgMCBSCi9UeXBlIC9DTWFwCi9DTWFwTmFtZSAvTW9kZXJuLVVURjgtSAovQ0lEU3lzdGVtSW5mbyA8PAovUmVnaXN0cnkgKEhhcnUpCi9PcmRlcmluZyAoTW9kZXJuMSkKL1N1cHBsZW1lbnQgMAo+PgovV01vZGUgMAovRmlsdGVyIFsgL0ZsYXRlRGVjb2RlIF0KPj4Kc3RyZWFtDQp4nHVSTW+CQBC9k/AfpgcTPSAghxJjTFqQyMGPiG3PuDsYEtklCxz8990PkGrSPZCd997MvBl28nbMnA/KL+gEcw9O2PBOEHSiXV7b1mQSc9JVyNo9IkU60M0SjoKTDFuYRmmcsrKdKXXKyK2jOMj+UX3itWSjRrWC6Y5TFMz5Oiehs9Wyc9neJP3MwDYXHRjIB08Lv1E0JWdL8OeeijeMRrxSrhvbcvvO4A5eipJR0XeHi/JiW7blL4CWpB0BfSGVWoOpkt2bFquUFRwCo6VdPegB3JO8Na24w1R5nAHFQuMHIc2W7DpM4o9U1tX1DZVT8AyIjJqL6ikXs88rBPd5BZrXbD+5GvwPer7XCItHmR+VPdSXgxrLRIJNnRMUObuiba08edawSuRZax+vCtsKTOqleMmJ32UOmEiicWgqGXTTo0k41pcpYRDFkWZkq0dF1Vav/DE76YSQ+9H71tOpOUqGjz9Y81rn9Z/+AQzPS4eHxLZ+AZjO3L0KZW5kc3RyZWFtCmVuZG9iago5IDAgb2JqCjM3OAplbmRvYmoKMTAgMCBvYmoKPDwKL1R5cGUgL0ZvbnQKL1N1YnR5cGUgL0NJREZvbnRUeXBlMgovRFcgMTAwMAovRFcyIFsgOTQ5IC0xMjUyIF0KL1cgWyAzMiBbIDI0MSAzMzEgNDExIDY0MyA2MDkgODE3IDcxMCAyMTUgMzc1IDM3NSA0NzIgNjQzIDI2OSAzNzQgMjY5IDQ2OCA2MTMgNDI5IDU1OCA1NTEgNTY0IDUyOCA1NjUgNTAyIDU5NiA1NjUgMzEyIDMxMiA2NDMgNjQzIDY0MyA0NzggOTI4IDY3MCA2NTMgNjQyIDc0OSA2NTMgNTk5IDcyNSA4MTQgMzg5IDUxNyA2OTQgNjAzIDkyNyA3NjcgNzQ0IDYwOSA3NDQgNzAxIDU2MSA2MTggNzU2IDY2NiA5NzUgNzEwIDYxNSA2MDEgMzc1IDQ2OCAzNzUgNjQzIDY0MyA1MDAgNTAzIDU2MCA0NTQgNTc0IDQ4MyAzMjUgNTA5IDU4MiAyOTIgMjkxIDUzNSAyODYgODgwIDU5MCA1MzkgNTcxIDU1OSA0MDkgNDMyIDM0NSA1NzUgNDk2IDczNyA1MDQgNDkyIDQ0MyA0MzAgMzc1IDQzMCA2NDMgXSAxNjAgWyAyNDEgMzMxIDU1NSA2MjIgNTcxIDYxNCAzNzUgNTAwIDUwMCA5NDEgNTAwIDU4MSA2NDMgMzc0IDk0MSA2NDMgNDE5IDY0MyA1MDAgNTAwIDUwMCA1NjYgNTAwIDI3OSA1MDAgNTAwIDUwMCA1ODEgMTA0OSAxMDQ5IDEwNDkgNDc4IDY3MCA2NzAgNjcwIDY3MCA2NzAgNjcwIDk3MCA2NDIgNjUzIDY1MyA2NTMgNjU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+FW7HjSewVR0rHiWDJ5Qe40msDRU9QgaRkpYNTpYhb5RsSkc4XmBqi8/xuHhp4/0qwP7ZEynK6QcDWmwX6qjRIlVKHT5PbeNlTV3DLU1UzWBA98cv7qQtZbiBsZQhx6LKF2bpLPeFW8ppuZuWuwPlIi2XW8rRLNG2fINoJ7U+Qq1lWaPZovVJ8c8bh7VjqNxh7Z8wMlBLsrb7pJZVmFLvabGgQ1nmnuAWOFhKWDo8F+MhUlBo7fDxOGuz1NFEqSw0TFBr+ZdEZAoRtWbW+bC2NJQjwRxm8DvsW31+tmsyW0WhBQNJViCe+AQbC1Jm3xqjz9vkmCRp9Q22ScMYy0poQCthjWdRaMHYOMs32N5KpSpa57RbsGAuFkiNbUZzE3aIEbFquIqG4FZsJtgmR/Ktc5zXJToSwViGHdHp+AZrpZYmqQWjJlmI4dUo+WSYSqtafR5LK3W22sB8atE3MWkdXoRtAd0Ww6Acw+Cq1k6LGV3URw0nIH3Ko4DcwaJGHxiHhy3DPoIsWquQGLu3+UTbHJrgt9dhae1ELdLxpNZO1rYK2WXSob0ZKy3mJiThrEyWKDi02Db6aB+2YG/NLRiYrJHDumGpeLjxEWhGtxZs7Q0tGAwkrVQlMVW3GjGHQphDc03YUYBQaaWE2J59bb61jhPNcuu5EvbtcQSIFaxXtr75akMkcvZFZD1uZ2KKsJJOntSxRZUqigpPZp2D4vWgVRlpa8nH1QfXl0D7ObSpMaSwQDMsaQotJhjnT1jJrtqpQWO5L6q6bpkRBZsJHA3ychDpFYYc0nxDjsaHRU4ACs4XT7/IHjnZxgcE0MkJxDpdbld2TpM50hxpxQfBlt8O0jsDTAERek2zmLzC3c2twx7zaH8ePXnBxDk5eieZTTyklvBkm4w0O5tdTnA2j9HeOfKCl8PeHdg3MeebubvHf8HVk1duov3t9X9ObobvIRwKWX/xJqVTySlf4sETpi3E/beoFTnRqXarOex0zAHOsWbsdETJR0EsY9caLVqSbfl5Ba5cA7l5YVHRQgr9RTU1FKWnudX+M8LlwkKIAQtcwUZJsBut5hJjvnm2cpa+UblErzAe0avNR5Rxsbt5XK89SmNSIfBansPcGY9ZpeJKed5q9YSrC5N212qIVkM0KlqqUYWH49PpcDSvH3NEupyOZscYuMfcjE2PSmk+4lXG6Y1HvHo1MuxwMykY8CAgykXKeKqN8l5YQNnn8zhLMqeP1rlydQLvcS+YWXVq4/bfustnuCs8v7189zOJx666+vabDhw4yt85/6X1u96cNWduQ/WCVzZvem7hgqXLJ1K+IOLEt198ODFGolC2O1Dx6TjveLiRzTo87Eh4uFYdz91NCE7y/nBVYRidbBwiQKcG2jAC2ug9YaRWQbYpiAIn/0BUFFeKyGeeWDpfhU6txqciwehMcCdwCR6lttDRHKkrRgmgCFyusdxcJ34wh6rKdbuc1AY8ETi2lw1OuLu91NYctI4Kw2zOL6Dzz4+05LtyCwpdoqiPjDbEGAwxfPr4iqRtsSbzPwu9P7cu4kVTYvzGxFmcWh6Wmck9Xl+bNePeyvH7LIXqcB29KcejJQgxOONsuIPNuFYmhwyDqM1wKtZoNivXW3drrrPeaQ1Pl1QRhfLs8MhC0ULi4yOPWNSc83oSHbMbj8kRu52JnI1p12bLdeYSZ647tyaX1+KOwNnc3EyVrCsuHnM5nWPFOEkfh8vRwsaHK53kEueQk2te31Tsxlo0ABQJzj0+3hJ5xItDEOf1gbkXux0u55S5B775eTZLsihnxhEw6YBZBGyFfs1CzPdLjC3lab2zahZbYhKu7J4xkCjXu8tyC6YVFd624sW/ObLzr96/5Lpsnuwyzc80emx2j9PU3LBlgytTarTbSitLCtZmZRY9fP2ci7Ncc2akLk6jcvNMHBA4lFs9sTK5zVfyYnkcr4vT2SxxFptltmN+TmzO7NIFM2JnzK5esDC21rY0bdHs5QvaY1tsa9JaZvcs6J3RW95bu3lR4rzq5BstuIa7C0hBgf2IW62kNlZKzUap1B+hOx8PzUB1pSV1dyXzn0odlXZlNC2vzHbtLi62VPKicTfUaeu4Omp84ZSsjikF85944ilpXV2Ds4E4G9wNNQ28RrVb9IRrCkWnY6w4oCUU/5guphjVRPExpw7VhUVYw/RDrXasuDgnG5UUN6/aknyjlzJeUOC2H/Ei30rQH/EC1ZfLSRXGrLy4mDpwyG+D2jFQc6XGy5SIVRZmy0GFij+i05hQCJDrDYGMQP684khR0fTs/GluvSi3GqUqz7Qee0ZOjMl0Ud2OJcOXbPTmVejjJIU82j09P6ekuPj2iy69NSszOUGy9C8p2ubKnznxu4kDzrS0rsKcmlKb1KZXJqk0urSMrEs7Ctakpjr6D1+/ZVucKiJZITXbraXzcvO8TmfJnDxXb1pup8M5P1YrS0tN395+6q8YNXPQJqYJ1RAGaniDWUW0WqXaKxej5XIRcG8mVxL1DTKqXDNVhkzGy9UenvBMuzwQQc6r9oBWKWE8ZyqkkUTJ9I35iQeoLhH52KMP2IZGQ9Xn1BBUYzRVY7MjoERHs2sMtUh156YqQJ1FFhfjNvehGrFH3CbyzU07sxyyLdpnaKgxMM40apOaixVl6hu8jDEe1cgar1zRzJrTlcMSaYk05xNXpMscSYRpL5waH+R+teOFiQ3jZ5dOFJNnb+CXfL+fu2Z8PfWR0okD/FkhB5xkHZNGXXqsWsuV2mM1+KS4yHCx1JGhpbiHPsPlemOK0WFyGUtNFcZqU61Qa1xmahFajF5TL/QRrT3d7kjfa7NG22xW+6j/dY8xIoJjjemTiijbvtLea+ft1swUavgW2m2KR60tTEkx35iZKaZfT2NV7BGPiIKjkhRtVCc6lbbQZsu2eqycNS3Nqkwapgvb/UpVIaZfe2xUDbwqsLDlOHOICR/unJqclTnbckSdZrfSg9FROdWXxjDoOenC7gh6kXsy9M1NJxvSh9Np6KM+RcmRuBkb7ZRlORRMM4BZQrWJzkYnk5JpvtGL/NvSr/fSGYixR7xiyNmoplzor8Wh1RIm1/gf+hv1sdQos97MB1bR6vIlE+98eN9XuXnT3AZRkRIXX53r6Ut1OG4arN1TWLGY+934UF7mgcY5N5E38m6/9M2JT+5c55rntkotMfLY8PDIPFfRNev2npxWFc+9OjLRKLkz6S6ifuJqQRLqwABp8CWzgHQLcZEKwht5J+fgC5Slhhquhq8R5hkWK5caliavVq41dCf3K7VJVCFrwzSFsR58JNCHdGN4dESEGH8kWi2fojpLeEyC3CHn5PLIGBUtiRkG0OLoEVRfwIoA7E47cdrd9ho7nzjsjCSRzKkitVSbkYwmMhD8gqrDfRMKtBnFyTTnRk2ibMfo+uRoJhj9IiXGTXT8EW+0WpQHFcHUoCummywSzclFQZ5aWKArFAOBDFy5wDYsoj6a6SIPdVEgSOtWd06cfkC39M2vLHXHVh37G4l58X2ifP36LZv2H9yy4PIinuOEeydeHOg7FLtUO5PEv101Y+LJl0jCxFMT339GlC8+cNszxW4h1hDBVqYF/vdlStk9kAUvMJlfJovQ6DkhOS4hOtmWXpSYb85Oz86cm1hp9qR7MlcmLDTXJndzHWGXcBvCBuzRek+4trBHt03H6TxURjpdJB93QCX0UlO0XgtRjtsytLdFZkRG3aYbzXZmE9MW0UAJRYG6tRhBRSqKTDcPO7X/oPY71qz9x5gLNzZOutHDdQR3e3Tfh+JsXm/06KKiMhwOlRWitLgmxe33qgS68XO53S4Up6uYrvsyun5w+Xm64GJQ6Iqy2Ni6wZYLffQ5+y6MEQXutW2fLm1a07V82Td7u++Zn16rrNN6HNlXLG49Pr2kvNLjuc+7cFdu7rzY6oaJs+aOFSuI5p57iL6j3ZvnnDkhzv3ltJnzG+oXfnvDro8aFre47Bm95SmvPYjSzcbzQYRsD5SSmUy6OUvCV4evSuPT0nEduDwsPDosLDwtNS09dbtahYuzil5bY1YeQV5Tbs28FW7NpztEKi9EvmFbRUS+f4BGL0Q+YzEekQmPloow/6HphtciBm2vxbyWRIMQW9STVLRZEl0RaDNEPmHNEHnLk0SbJT04TQVceFi4OkOIybIeS+X1pYQTYo/F4O4rptg9nksXeXoTotOEm8Kd4XwgcYfXhMuam5tcJKA4x9mz42enoNhqZyA67YzIip0MU0aPOc2mwhGOeYlOpY+JPeaN0WVkHfOGZfA26zFvhMeGq4k7/kWHG7+OXNzM5Toji8/fyhL8F9zF6idL2dYgNd9McGdUaNazPV1oryuPGN+bfFG0KVEzkZA74VKbJMOwfvzpzHajJT4pwbQ0g5wl15FlUUZCXkpYEp0cG5usW26cRVThUTlWQfHdLOHV709cOpigt5FZswSDIWFgF/cHd22cMZ6b9d1b/CU5F+lmEa1cVWT+nliydWGRBPUf6/9K1KH+Mwhh+jfLklMtNUrekpy8XamIVioVc5TEThcbu11hGYTXRFQb0zdFPHFUc2ICVZvIwo6Y5cEFRsyKpAFPjc3wKKkcjDPrXoub1Hcc03ccXctsVM9xrGXcg5k1ypXKHuU2pWBRKuwZwEvHknmFNuqYDpzjubjYxBTTNSWoy69ztVjoxB2Cg20Rzo4X56IPoj6FSTUaLXZFlFYXdcyr04HDfszr4JVapVk65jVTBTpyixDoV8eWmaA6LORf620SE3UJA3EpcUu+v90kxeyLGX/EOKi1xEvGlEtt5CCfJCUlbDNzM2QzSZI27uq13/1N2D2ecukVCQaqHM4SkdC/h3s0a3mc2YnK+Q137LIhQ1QKNwvjfBuA7DnUiAumwTdMJ50aTjSrMkxcfGbkNAtnmeZyFOfnTqvgKhxz85fmt6evze/jLs2PEsjWLHtWVoRd2F9SElF0IOFYIq9yEV5zLEICkrclhS32KSn2LF6vKTOV4Ym9TH1rsWxr4i0Rt+jpMZepR8/Uo6deSPWKyBcetUaDWBhtr39w+jkPyj2Ly0szdT4MigFfHKNryzhusMhO7fipgB4S7cWy/d7iYk0icTGfitCgF+kSEosOeBMDmmDfwP6a+ZGNS/3X7jN198x2AvRLcB9gicSYKXtu4vJtL158rSFFt9Q0flfsMl2SMdoaV5vAXbP0qKdsbm5O5tZ53Xs6M2ZZ4hfEj3/1s5337BgefZYk3zBRZsmPkKuoisIU6txUgbMURCg13Cxretr2ZXVbsxxuw57Hd00r1qkjCP/u9kPjN5+ga9QK/0dCpuzn4CEuprHYcg8VGESABrR8Tn2YtjCXrvlaugHDVDPq/4XnCixVyuRWQ0lCmQ3sUjaUSdme+uL6snXxvbBV6E3ptfYV9pb2u6MSTFtLS93bskhWViZfWmZKEMT8/WlCi6pXxanQ//eLURm3ZWY6b8sqK+WLBKqmIuZURdsSTHHJWcmquG38aLmznITdFh6uvk1SZas8qlqVoHLSbRxbz+jeDmHc4cC9Md3B0bXNyRY31G9wn2f0aKLKLGUFpQVlVaVVZQ2l8uYmXPqaQ6qmZrGe4AYvVuVUOcW0cJ1SjNrvRfZ4R1r+fm9aaCVEiGS7ydD2TqA3IXIL7/rBSWrq/ch562RgkcQv/0amY+Kz3698vNJRG7EwrqIwb8/yytWSZGpZOeOu6RcPlU8vOdrQdqMnvVax0FCY4bhs6corG+rm7C2f1sPtyd1U89jXpfY55OOl17pLq1LM5qaSxQds8e6Egvv2LryqMK90WtrMifSFP5tWUnlJ4/LNqRZXYnw5at3/OnpqMnpqBVEyrTs8jpryWsfK8hZHT7lYVFKUU3K5GBYtimFFOUUlOdstpmgLAg2mehoeUxERw1QAG9DtTZbEfjuxQ/RrqiLVVrv+tX2JJJHt+RJp4DRSV0wMozpNTKycWUnvxkyVNZU9lTy9wblfrSk00T5jEbHklIimMNGQMaMChPRjdj7KcExPQyiNoJExxbgLb3aQ0I3NWddYsfasi20O2QO37BE/WBTpHjG6KD1Kbzjm1esyZgBfbk8/5rUz53XFUPeNPBdD5ectbOf7LxdQKXqxXjynwpgCXX7Iu2XJkXO1qQlpC65ot8YmWvRe83hXQq8hxZhqnLa/wOwyx1YYueZV9apwdYrW2VZz0x3JCYkzE8kYRts4VWx84boP7/UsmDvxt5R8rSKGOnO4UpNnI03axXkDJKKluMSAWzssjjWISTHxFaamE1ePE2NCTIJCIeNpDK71/5n/gv8HlEE1KaO6PQnz6YmKBkaTwhBpV9jnXqK7pELMHfW/49EqIwrDbfhwHzbYUC8Gqoh0qjqDwRnWY9tm42z0lsxmSzzs1JYd4g2zrwszSJYd6bQ0fdT/pSefKjY9PV8tVg8VFbkNQ3B7vsR2VexeJN9Gz3z5uIXC5yPzTfOd893z+UrcaHlYTeUVJrVTzanZKUDNTgFq5v9qFa1WPzovELL7xhzNAQxDN3p4ccAIxorZfSXdygb9/CTY/KdG8ADpaArd7bHDQjP1baPBfdhrMITZnM7Ew16nli875OUNYbOv84YZAjecbof2GdqIHrEDd5wW8dzlR2FBSmHwkgQ3u9E/fjES3AEH1+TA+YL/wjkrc0GzWpxxsLvnGkmKq0vJJFHZ4broORVZNdood1Guc0Ze5uD0+i0uV75oTNDMSJ44tniwMLdkScUsr1UXqZ9TNXvernXFS1OSnBGRy+Pb1XPN1kJTZPQCs6VkVkZWvTkhNcZm3dZxzekdqVlaJUdejstOSW72LFpQ6aRnwNn+j/kH0DIksMMXzOvdGSzWZ3jCVfTJNkG64vTZshrRo1oqWynWqtbIesQW1YbIXt1GU0TMYTsaEp7t7XzqYY1WosaSHRnJlUpS4nW8QboTwHyFQaJ9GmJpb4YMqk/DYxmaDGdGTQZvj7mC3aaY2D2KihIqmcqVWhoklEzxykcdwVV6PDeg8mBEZ1df7A4lJ7uZsMO4IcZ+yBsTw2tSD3s1WpAkPvE6VCjzbKcrcBQ/p0nb+ZrSmyePKvykTvkHyl7euen+kpLi6aXFd3d7b8jOyhzvt6albl3StH3aoSh9TK27e4/4ycar6mfPPnVRy8m5s5bMLC063FTeenRaScUiL5lfNOjIKrnvCH1zYZ+Yyf8FZT4NqqGZLAnsUzkQk5SOmKTYjK2ybeKGJQrbIQvM0c7h5hyOt9h5KZPKNZc6bGZmocZj8nCew5K20BOfWFhYqNlWR+qWHVYa37e/P53LyanTGDzov4Z5V/JUsilUjnwKnzJ9yBCXZUmVJdo9cUmFdgOVst1AvdBup/2nhEUU2leaVjpXulfyi69UMQWoGJlKVTWUSFslsot2bWGik+mAnh6DW1ZcVukpElVBLxVdzvV0wQ06YFOzi2mqjwqfEvadu2bWF5LhwusK6V0Lu7lMr6vRaAtLRElpsR3yWixSfFzmnMPezEyl5DnsxUkXauqUyw57lUaqUqcrdL1SXBzpugw30Ng9Ve+UVxJUw/mTK29+6KIzxqy36AMXmZapsRtX4LxzB1c0haiAJUw5x/IH07LK3BWP7D7z3i2XJXli4qXqeS1rXjmW2ZRFGj+xprx21eaYXHtS4vz0jOulrOZPVjY4K/TRka3zG5pP5eUn3NvvXZZktWxcfODuVbaWWbO2ZDnzdmxdtVEWoTTq9MX2/CZJk7m3+aoHdBEtoqMr9/IHFPYUa6pcIRASRrg0zrZhT2qKuTmn56o9486i2WohTN++wOIxxpvXo1c70LVTZX+BOLDCB4F4n+o/xU6zqfSYYqcaTWX3B5ajiR5anpgYqTkeqY3jjhPppvh4uCNqSPs6uUMROh4p6MoQTp1TIVCrYBXs/cmo/3NPOHuHYqDBWUEHYJFdcdKmSTWlOlN7U4Vm7dcOx+Q5lboufZcStIAT2lf/bsTHeNMYvd1BTw44crTFg2xpNce9Wp0WeSPc8ck3LS56UnLGv3jeITW44lpjQq9bprxJ41InLDE5ugRjYnzU7CSyPMKYaLDHb60udFVXu4rnlHOCqMxM4VolXKIiuRmGiO//aMkKV4ZzsvTixQvzCuvm050x/UsFg6hCyQZukGM07M5Uy55GJlHNce2r9Lj4ABUWOzdmaTRiaSRQ2TK53kvu0BhNRqfRbew1yjQK0qsYVPxVwSvCgq+mJiX7YVDk2qDIv/REMklztEeFLijvzx5m4lYY44ObIPZpXt9MZc02Sni8nJSqJiRQuFCg/1aWnGHCFJMXmYAbcF1LIumPiE80OIzlnEyGYhM2prh1qmgO5fHtw5ZMVVgYR6U1HUDYzf8dykgxldZDHk/wHuVlj1OpKUw/bn/Voc00qg7maePKCCckHDdqOBPHcbdTI8MpDZXdURRNhVJEb1OoKIqYEKiciwy0syJ2oVVEZcYOCKP+f1CZiaVFybSHInodH0/FU/SIh4ZNp8ftEeJuz4gaSr894Y7kUf9brNvkkNCTJ4/1yQraf/KkeSezvQfmP3mI9pd80h1ckYInx+bJLN2OOM6Gzo+6YjcVvoNuNZLof0V53Gu3OzSZWTo+T3XQi1PnynhjAmoC4xlGT7r5jGHvEiNdF2gk+O7lX50jrTF6V0HoFVuQSNg9kRhTiGbfPiu/MdmcqkxI0OfEY1nQFfKSyOwIWexsybrKc/Xu2MRYiynoCuS77j5zbEy+dvz55Ayq0fJJH0ku1qnCqY/sia3Qx0onDoz7LQ5VmIJD/6jyfygocXWLBBucYj4SURKbn8LF4uYg5bBo0I36v3mISlq3A6jQ2cGSaokpFZilAzvZQ0ipwE4MVOjwWFpNWm8al6RgF2o7VGy7oKIhh20fVCq2YrHmKnbJSdcwsVT1aGpIO5NbRopOea+tiaW7BTHlsFc0nHuvfd5LbXpBLM/7kVtNQVk+vfKh9SvuKZ8xn6jfeYmoX0pKkrqq569NluJNycmr523ZT/636/mq2gWzZlY8efGfiW3i08+qj5eUVc8rn35kTssxj2fOV0GP4Uv5ryATPmayS+PChfSo9JRwQaIvosI19O2G8jpVqt6htRxPedWqjTIc14tUlKfux9030GsPtqIDOJ0epbow+t5U9VDK7fo7EkImTpGAtBMMVHwJzNCx9HMm7QR630k9CJEzzNQTTmadb+qB11hjLLR8PeYOvDum98X0jio1TcXzvEN5ndehTbEc96bYUpBLveG4V38u1NCtWExuQMLBBTr5Pxk2fRNSmptXVCrnnVszjIlxNYnj35xvx2WH3e4afpmrpsRiSNHNqxp/ypIRfp7pmqaFTHdhfR2VuNr/F+5umRLi4VEmcaNM0ugKBQ/GJ/p6X34oTBMfH3OQR1FRIXsSqZQhIYHKVqHWDoUpeuWDck4eQcOUnN4yUZnK6VkmnEpbrqPSlYdsWU4vkalQ5cFAjRuj8Vy2mKFIwM0uBunuiR5PjB69Vh0WHh4mP+QN0wAfH8/HHAxuZekNLXuH68qd3Myy/+Ig0hVp1psjJ7ex3N0zBuov6xx56CFinPizMlLrKYhrjXYYrVv6uCMtxDXxYsv422WLTIlJSjnKw+L/s9DNfwy5ZCWTx9w8FrTz2NomRodHFCZFh6Ns6AYz7Xj6q3Zt9HH9qwZt7nF4lRjxIJgeSz0u/XXOjKe+jDQqlgzmphk0NifSbjLYjjQjgconQ6BiyWDnvgx6N1dBpZPxSJ4p75q8m/PuyxPceSvztuXty/trnj9PdOYRDVY589x5NVgtxg5F3+5Ub1NzT6jJoJqotXQ8NRUyHVLNlgN2fmRqwPw3gWiu1rCT5Kj/K6YNdWjZbF7fd3asGZ/nojmzeLqXRVNnX/aaiVD1pKSnHfemO9LtWn002neM3qCF3ONe+hePvGDmw4yhM2RMrpOZ/eSD6kyWmm8RQ1vU8xbc4JuSHyzCQvfEExoxdlpqZv38HbuN8bqCJDJH01JR2JBoTA9PiNPNyiCrNJjmJukMEVviimOMCT8/Rt5KyWFWHxsxvugib3KM3hnNOc0unUpGy77/W3J2ZLic/vcm/jH//woG/h08DQbeCKpCp0EqsxMi/U8xT0KC/yv6ihsDQ0KGA9LSo7SR6ZqEsEhNGNBX0m7t6V/jN3AjQ2Pr0o0ykmBOiDfv4pXRGL4S4hKS4naqw6LV6jB1nJlXysKi0uwgaI9jFzY+HU/+YUo+zixGBt8PZtCLBcDjIqFnRjeeGoXJt4LNgeMHbvpxwQ3eCP3IhQ80NzGNqRNwLOAjtce9lN9YJ9XNuetyjq6vlsClzrkbHV1Mge7c/V2+WTBkLkws3TozOjNqwcpbGqKbMslzSUvDZOnXOVPWusN05piYjAiymb9JkVN25cTpW7K2lvyF7HghyyUvryIx0XycdtXE/t4GAkeNzthIYxhGKA+T/sRMIQKlX0SWM+knZbIbkCz2dLJnNnuWTNGHJzFJFcVnUH3gylBgtB9PPZ6mP647HpWmidLQt09se5iUVBK4HgG3Wzs2hl/32Iv0pTbTkDMsI2eDs98lqDSqpOzMJEuS0bIrMzs6MzM7yZhkMe7UqKI1GpUmEzMylT413S7gAJpsVS3fwvdivGdDO+l/ha1RZVMqRVQJ1Zo95IqIvOqJpszb7SXOEqLBh7ukpkSIohS0PCqgzOBR0tkceBeJJ/Z/odSdWsUpepPXxF7Co25jVNlJfIE+1c5H6Y57ozQ8X4CrUIExcPJnimZHQz4veNqPQR/7EV2H7mpZoZzj5CEn5QvTpSydJjksd49p5Q31UUszyVNJ9UrRdsSR2TpNHr8snaxLaovddDLb3e7Mqk5b0DTxeK47NkqTF2k82zBGNj4XNAGNmKBpn9jTe9GfjkRVxMZnyjxlstKCic8nSi666qZMe+LcwB+Qyg6FfbVj7UsrNdP+DsbAn5f9ckb0azT9Q/ib8RM3jR9QLpZfj1ll8I+sEeQNE24seGbipomblYsn/8o69IdTKxTBIvJFALg74SW+GjbKrHCD8AHcKA7DWtl9UE1OgpcH2IBQwT8LDVi/j0uDVm4CFmO6lz8FOcKnsJrvhR3CxbBOWAMeYQjLSqBU2AmrBRk0Cb+GLsTruUF4GOFq7ONJOg7Cs/zrsEa+Du6SrfC/KSuFlTILLJBNwApZCTQIL+B4L8ICcQja+CSoEVIgXHY1rBJehzb5RZAtWiBW9jXUIr/LaCq7CdqELbBC+B/QiGqYK1vsf0f+e//3OA+18Ln/deFlMOI87kKel9L54PhPyKz+7wQgswUF9nOp/0v+NpgtHIbZ/Hswm7sBYoUosAt3gcg1goNr8HcLcxCfC5xcBcXCIzBdqIUqYT+YhUuwzSyYzm+AOdzTON4NYOH/6R+TfYz9h4GK/9I/xu+FQn490gGZgSkd/3I2bwp03jjn0Jwo/4ynHwHKI+VvKjD+GiGda/R/jvDVJG8XAvI1FVCnq/hlqJ/1sFf4FjYIAJv5FBjGtF1oh1L5bqhlMAytKKdELL+f6k7+jP9mJvPHYB7mDyI8SEH4i/9rYRdsFo7AEtntoBd/iTp5FAp4P0Rj2yMIA7gtFWV/goWUH9R/J7U9aleypeAQUv21iB+SNUGUcCfcg/CkuAF+NiknHFP+PcpnF1Qh3SrxXeR/NtQgrCQvwzyE5bQvYSvMoDKneoc7J25C+QJfB/chvCLcjXodhVg6d24aHKJtaHvlHWjzdAzUw2SKQG0PYS5COcXZvINA9RQCqgOc36MIlyPcjfAsymwQ0wlMXZg+iWkuo3kdllI7ovZKbYbZJrUPtA1q/8IM1BXyzubwGbQIm9GWAnJ+Gdv/EeEAwjbFKtgRhA2ov27qL9Rmmb8E+6a2RW0mlFL7pnZP507nSW1qMqW+V4f1QR+kthVKqd8xnjHl+WDaDBy1WWpvoZT5JOqW+iP1iVA6OVf0T+YjwZTZOtpiKA3JYjL9OeqByjoZKoTnkA9qN09AvXAQ0xvBJruW2gL62Q3wkpAH9cpjsEwej/P/GThkaegP++EZwQLPYEzzctcBCG/Afu4PsIMC4icw7Z2c/wWyulAGk2lQzhemNFbReBFI/R+hHpLQH1/BdD6mH1O9oJ3Ig6mDxjQaV1hcw9giLEM5BeV8nlxvnSLXC+R7oVwvlOeFKYuJNC4F7YvrhPzQ/Jlfo2+GxqAxO0R/YRpqT/ZBBsr/byx+jMG6kD0iXI5wgsob7X4AoY/GF1mX/wOxHdeoe1EXFQDiywhdmKc/LtLs3z+5FsyBKLYOoB2E1gAqJ1mH/83J+H8VDDDb2ITyxnUAZRdL5UB5o3Ff9IOE8SaJ+i5bA9B+mO1cC5lcM0hCPciFK+EXQoL/f/hSWELLhX5oZHVzIZP/s/9/hNvgUoH3/43fCU4WQzfC7fy1MJO1Vfu/k72F8WwU436z/ylWRmkwpWUsps9GfqgNz0AboboKxJNyqntFrP8zxZXQJo6CRnYNzm2G/7R4KbQxGRSgDFAOrO2zfj/tS37G/4lwBu3sKmyDQNuIav9nTB4oo6myoDZMZcH6RN9h8sA62TiYFM/DCgpiHGjkj+M4EkIFZCl2Yv0B/8dsrVkE1YIV1/0htLFLUD1o9+I80PC/xfzH6IsUuhHu9H8lO4np+wh07i9jimsiW6eeAQO1EVHEvnAdFF7F+p9BlPgJVImfIX4zqEQtjvEtwlm09YXYts3/NYs316J94dhYPoutq2yN839F/UXM9n8ltiHtXahT5IHFydewvyPon33Yz7vwifIZtIWXYBbaXEMwJp9AGArEZgIIoXhN4SmE6yd9aT8cVxxC/f3c/6ns59zWAIRw/6dIaw35W3Bv0CXbjv4F0I+wk8bmID4Zq6fwsXMKL9uEf0CcXBcAYS/CPbgedeD+Yj3a8xqoxP1UqVAMebiHWinU4f4quJ8StqOMtsMLCG0ICxBKEeoQVmIfqzCtQqhn+e24vm/HPrbDUWG7/3FMpWA+VZjnfx9tfZ6QiHr9HNNMjKvvYtt7MeY0wAJuN5TybaBA2dbx/8D9WAykygTk82lw81/jnDEVbsF4eRhxquMJ5GOm/12x0T8h7IEwQeF/l38bYtg4/wWIC7AtAuPnQqD8fY7zRh7/HTD+KE5pcR5TAec0OzQvBDkCx+32fxPMJ8k+p6n/i0De//zUuV8A0+k4U4HJ4r8AcTnK7hvU2S3ngMrvQmDynApUtv8FUNlPBaqDqUD1EYKQ/vkXUF5r0R6o/rGcykj4AtxUDnT+Qi3qJqT79bCczoPSUBvgP8B+KH/YtywMYyjqHfd/YYibqGzZuHQcqpug7JksAvQmVpeD44f4eBzXhqAuxdtx7/YpWGU9uD4jCD6ok4no/5QXyuMUPpiNUD5K8eAU4qMFaV4AQZ4DC+SliH+FMacL+6bjFYNJrsCyvf436LgyJ+7VX2Dlbir/oA18Q21AvA3H/Br36Tdg/8gDG4OOfxj3KEA2BP36IRoP8Ey1CtevMLkAaeiLS2XPIN+fwlXQjP8Cn7r/j3Bb8Ae0KEzgyvklSiwNV9JpuJLOw7PfBRD21H8HKum/gwgEzcj5ELkKIGr5j4O+4N9DTO35EPtMAIy2ACQMnoPEewNgQhlIZ85Bcl0ALG0YnlsAbO+dg7TPf4Kf4Cf4CX6Cn+An+Al+gp/gJ/j/KdCfFm6BW0EOW0AGHGjBA1di2fth9wV+oBiyuarJ92a5EPqlYgIRmAvgHLb2BHEe4mBWEBeQpiWIy0AF64K4iPSXBHE5lML2IK4ANTwWxJXY9vkgribPwJtBPALs3I2UM4HHcVXcrxnOOOdeYbjIyj9guJyVjzFcwfBxhiuxpw5eHcQJJPDrgzgHEfzeIM5DLn9jEBeQ5sUgLoNYPIcHcBEiBBLE5bBR0ARxBcQLQ0FcCQnCzUFcze8SHg3iEVCvqGB4GOVZcYjh4ZRPxTGGq1j5/QyPYPgTDGd/M6x4geFRiOsUbzM8mtH8heF61s//MtxAy5VyhsfRtsoohhspjdLM8ERGk8NwE8OnMzyF0c9heCbDl1BcwXhWdjI80D+ToSpQvoXhjH/l7rul3OycAml+d3tfT3/PqgGpoqevt6evdaC7Z12WNMPrleq6V3cN9Et1nf2dfRs7O7Jm186smjHDMauzp291d2td5+oN3ta+c+2D5VKw4nzqhs6+fuxYys/KLw4Whei7+6VWaaCvtaNzbWvfRVLPKmmgq3MKX6v7ejb00uL2nrW9reu6O/uzKlr7Bjr7JBvyvK5zfusANtgkBQrPtevf0Nvr7e7skFb1rBvIkpp6NkhrWzdLG/o7cQAclBZLAz1Se19n60BnhtTR3d/rbd2cIbWu65B6+7qxth1JOjFt7Zd6O/vWdg8MYHdtmxmD3u72znW0L6zol3r6QsgqOkLGD6fR29fTsaF9IEOi0sS2GbRNaIDuddKmru72rimcbcJBu9e1ezd0oOgnue9Z590spXWnS51r25CXc+TYw7/jlpF3dK9bLfV19g/0dbdTNZ8bgDaf7KuUSSCtG0cZ6FxLbaKvG0ft6Nm0ztvT2nG+9FoDokJt4HR6cCh8bhjo3TAgdXTSaVKark5v7/kSRQNbtzlIThWCHaJ8urrbupHnrK6Bgd4Sp3PTpk1Za0Pyy0LtOwc29/as7mvt7drspOP3O2EB9EAfrIVW8CLWBpuJGjphDYa1TxHO1S2CAUzXQQc++zDM3MCf4H/FP4Fwkn+E/wXcDRKGzmzIgQLE5kM3tCNdD/QjrMK2ElSw3nrZsxVLuhFbB1lYMwP792Jah2WroQvr+lmuE9NOpN6Izw6knA21MBOqkH4GODAgd7K+VmOrVka9GjZgP5S/Hxv/fHrpghb/ru8GxkV/kGMJ8pGXfCi+gOrC/rvZLCg2wGbcgfVr2VgXYRnlitZ0YemPy2s1y29AiYWo2zFdi3mqh24mnSyUKu1xgHEogS0o53WYn8+kHBhhEys/R/lj4/WzsXpRHt1M3hKW054GmI6aGC8Sm8FmTDcw3QRmEJhpiJqW9TBu+5CilY2YgfkORtfL5L2ZlQTsSWK/Dd4dbNse7KUzmG9lffcyrtci1QCro63aGB8hCXrZjGirEF+BFv1Men0/KFk1OYeM/0obvSzfgW3aMZ/B5BWwzcC4GZPjXDiDbmYzm5ic2vH54zLbFJwppW7H2Wxg9tLxo7KnbbwMS0P6dEypZbUF5fJjvQd4+L/K9lzvHayn1VjWx+xvgGmufdKbf2wGodF/yFfpFBugMwnMZYCNF4oTtP/AXOnvXG9iM+9h3vTvbK/1PKsK+EZP8BmYVQCnv0ffy54S4zakzVA/lNLLPPBf22gggq0LauZc7yEP6Q5KmdoP5beNSTqg2y4m814oASf+28T+ZTFdnG9/WUHfdyK+mclmNZNOL/awGUtD8++H8yP6ObyVeciP1X1wHp0XOZsa61m0/xd9etmsp+SFJCFHqBZmCdPxWXzeCDQi/ateFuBzI9MpXXFmYHkfSm8d4+Jft/lxnA/s6f3V9P+H8sPPDCU5SEohFkykEGaTAlhMCkY+yzVhuQZcJALzakxVmIaPvOc3jZKwETK2eJQoRwSaU9zP+02aGeHkIuzhInAi8EROBFw/TIT3RMb5TX9zfbnY/eW2L2/+8okvBUragFUNSNqApPkkD/yYd40Y/KYZEjkMhGTjYDk4KKZIlQ01CD0I1yAI4MbnNoSbEZ5AeB/BjyDCbnK9x0AmyPeLx6P8pr8im18gj2PIoHaUVIw4sqpGiThinI1sy0aMlHvwmP2Jpm+1ftM/NX7TX4jf9Bn4TUPwW2I64zzDeV61ZxaMktaRG6chcfvI27RNWyB39chzNLd35Dc0WePJ+h3K4Y+mP7r/WPNHwfSK8xX3KzWvrHyl5xXR9LLzZffLNS8Lv3tBa3rxpXjT7xHoHy+8FBWHva8YuZH20DxyhCbLRm6gyUqP4Xq/6e4jqaYbjsSbbsT0yP5U0zXXk1FSN3KUUjSMHKdJy8ghmiwZOUyTBSPX0mTeyAGaVI8copzOCNSVezRIqj0qHd13lJeO3nKUo/9tf+1RZOL4dQrTocOppsPXxZkOIlx3SDKd+jM5tl9h+hkOewDhWoQhz2PKiIKWR3sfHXyUlx55+RHO80iYpkB7krSc7D05ePKvJ788yX5LLG5UqSrwPFz78L6HeXiIaB4yPcTBg2Tfg/QnCz1hD4ZHFGz7lGz7mGVdH8abCs7c++W93L13mEyv3xFnuv2OXJN237593Gu3xJluRRi8hcA9znt67rnlHgHatG3cKOkYOUEn1TVyiiZXeRwP+E03v0lM7/e+zz19f7wJ7ieaJ01Pcqd+FW96AuFxhAd+lWj61VYj0i8d2U2bNY0M06TRo9njN+0Zdpp2IwxvdWJZ/ciOAkwWjQzRpGzkJko4bWQHTUo9M4b8pl1DCtPOodmm+24iNw3Fm64cSjZdsaPYpHTvqNnBTdsx5DK9gcWDQ/uGuPeHyNDWBNPLfyaXD1pMvYODgziDqpFttLPKkS00menRbPWbtm+da9q2Ndm0ZWsG+y2AvVuTrQWwlbRs7d365VY+I1Njd0SkpWtsqREpVk2yJUIya5JMEcaERHVsXLxab4hR66Ki1UMabaRKpY5Q0f+TkChXqHhBpgLCqUxJziTOJBKn6BZrRF6jcWrcmhqN4FbVqrganjjBDTUYPARjqcKkKVGY+GKFCYowra111U/5iVKzD8wO4tNVQ3V9uS+KYLqo3OdyVI8qoM6X66j2KWuXNZ4g5OomLPVxu9DX6n3CrlEOE13F0mWNoySOVg+xX19HbJQMDu3dazwhBLGmJkdiua+jelHjCN/bm1je5Mtl+L59iAP9r5/7A5/gnyw0ehLiYu0mtcpukot2k0FvN2k1dlOUzm4S+HRTkMpIqUqRqhSpSpGqFKlKkaoUqUpDVE2OKZ8TpwX6G++tvtOWmSfeO81+7933nmWm76PKbp9nj4+vbPF9hFUGOuuOunLSPxBsOeDodwxscDhW9K/A3AbHDz5IyYjZLPoDLfqxCP/RCnyCo/EhOKs9K52lv/z20NlEa8E1Z9kPfx7LyCqg6X6LrYA23mD0hAEthEBJU4CDACPnxu4/b/xJ6eFoyxs99tmHiPJQ3KH0Q8WHhE8PkrcPkucPkpMHyd0HieIA+ecBothP/rmfaH5LBhiX9DMwEBIXBJP+fjYebOhnudBoxBEb/KX3c0r+f70baKgKZW5kc3RyZWFtCmVuZG9iagoxNSAwIG9iagoxNjAwMgplbmRvYmoKMTYgMCBvYmoKPDwKL0ZvbnRGaWxlMiAxNCAwIFIKL1R5cGUgL0ZvbnREZXNjcmlwdG9yCi9Bc2NlbnQgOTE2Ci9EZXNjZW50IC0yMTkKL0NhcEhlaWdodCA2OTIKL0ZsYWdzIDM0Ci9Gb250QkJveCBbIC0xNzMgLTMwMyAxMTY2IDk0OSBdCi9Gb250TmFtZSAvSFBERkFBK0dlb3JnaWEKL0l0YWxpY0FuZ2xlIDAKL1N0ZW1WIDAKL1hIZWlnaHQgNDgxCj4+CmVuZG9iagp4cmVmCjAgMTcKMDAwMDAwMDAwMCA2NTUzNSBmDQowMDAwMDAwMDE1IDAwMDAwIG4NCjAwMDAwMDAwNjQgMDAwMDAgbg0KMDAwMDAwMDEyMyAwMDAwMCBuDQowMDAwMDAwMTg3IDAwMDAwIG4NCjAwMDAwMDAzOTEgMDAwMDAgbg0KMDAwMDAwNjA2OSAwMDAwMCBuDQowMDAwMDA2MDg5IDAwMDAwIG4NCjAwMDAwMDYyMzEgMDAwMDAgbg0KMDAwMDAwNjgwNiAwMDAwMCBuDQowMDAwMDA2ODI1IDAwMDAwIG4NCjAwMDAwMTAyMTMgMDAwMDAgbg0KMDAwMDAxMTcxMCAwMDAwMCBuDQowMDAwMDExNzMxIDAwMDAwIG4NCjAwMDAwMTE3NzAgMDAwMDAgbg0KMDAwMDAyNzg5MCAwMDAwMCBuDQowMDAwMDI3OTEyIDAwMDAwIG4NCnRyYWlsZXIKPDwKL1Jvb3QgMSAwIFIKL0luZm8gMyAwIFIKL1NpemUgMTcKPj4Kc3RhcnR4cmVmCjI4MTIxCiUlRU9GCg==" style="width:12cm"></embed>
<div class="figcaption">Figure 1: Relative Share of Labor Force 1995 to
2014</div>
</div>
</div>
<div id="figure-2-electoral-consequences-routine-and-non-routine-voters" class="section level3">
<h3>Figure 2: Electoral consequences, Routine and Non-Routine
Voters</h3>
<pre class="stata"><code>// Figure 2: Electoral consequences, Routine and Non-Routine Voters
{
* Here I look at the share of votes by party family, and instead of using the three categories of risks, I put together non-routine manual and routine. I repeat this for RR, ML, MR, Non-voters. Code commented in the first one. 
// Radical right (graph commented)
{
* Label the variable &#39;radicalR&#39; to represent &quot;Votes for Right Populist (%)&quot;
lab var radicalR &quot;Votes for Right Populist (%)&quot;

* Preserve the current dataset in memory so it can be restored later
preserve    

* Generate a new variable &#39;task2and3&#39; initialized to 1 if &#39;task2&#39; equals 1
gen task2and3 = 1 if task2 == 1

* Replace &#39;task2and3&#39; with 1 if &#39;task33&#39; equals 1 (combining task2 and task33)
replace task2and3 = 1 if task33 == 1

* Replace &#39;task2and3&#39; with 0 if &#39;task1&#39; equals 1 (Non-Routine Cognitive tasks)
replace task2and3 = 0 if task1 == 1

* Keep only observations where &#39;emplB&#39; is less than 6 (likely filtering by employment status or category)
keep if emplB &lt; 6

* Collapse the data to calculate the mean of &#39;radicalR&#39; weighted by &#39;weight&#39; for each year, task1, and task2and3 categories
collapse radicalR [aw=weight], by(year task1 task2and3)

* Create a line graph for &#39;radicalR&#39; over time, segmented by task categories
graph twoway line  radicalR year if task1==1, lc(green) legend(label(1 &quot;Non-Routine Cognitive&quot;))  || ///
  line  radicalR year if task2and3==1, lc(red) legend(label(2 &quot;Routine &amp; Manual&quot;)) ytitle(&quot;Votes for Right Populist (%)&quot;, size(small))    legend(size(vsmall))  xtitle(&quot;Year&quot;, size(small))   ylabel(, labsize(vsmall))  xlabel(, labsize(vsmall))

* Save the graph as &quot;RR.gph&quot; in the &quot;Figure&quot; directory, replacing any existing file with the same name
graph save &quot;Figure/RR.gph&quot;, replace

* Restore the original dataset that was in memory before the modifications
restore
}
// Maintream left
{
 preserve   

gen task2and3=1 if task2==1
replace task2and3=1 if task33==1
replace task2and3=0 if task1==1

keep if emplB&lt;6
collapse mainstreamleft [aw=weight], by(year task1 task2and3)

graph twoway line  mainstreamleft year if task1==1, lc(green)   legend(label(1 &quot;Non-Routine Cognitive&quot;))  || ///
  line  mainstreamleft year if task2and3==1, lc(red) legend(label(2 &quot;Routine &amp; Manual&quot;))  ytitle(&quot;Votes for Mainstream Left (%)&quot;, size(small))    legend(size(vsmall))  xtitle(&quot;Year&quot;, size(small))   ylabel(, labsize(vsmall))  xlabel(, labsize(vsmall))
graph save &quot;Figure/ML.gph&quot;, replace

restore 
}
// Mainstream right
{
 preserve   

gen task2and3=1 if task2==1
replace task2and3=1 if task33==1
replace task2and3=0 if task1==1

keep if emplB&lt;6
collapse mainstreamright [aw=weight], by(year task1 task2and3)

graph twoway line  mainstreamright year if task1==1, lc(green)  legend(label(1 &quot;Non-Routine Cognitive&quot;))  || ///
  line  mainstreamright year if task2and3==1, lc(red) legend(label(2 &quot;Routine &amp; Manual&quot;))  ytitle(&quot;Votes for Mainstream Right (%)&quot;, size(small))    legend(size(vsmall))  xtitle(&quot;Year&quot;, size(small))   ylabel(, labsize(vsmall))  xlabel(, labsize(vsmall))
graph save &quot;Figure/MR.gph&quot;, replace

restore 
}
// Non Voters
{
 preserve   

gen task2and3=1 if task2==1
replace task2and3=1 if task33==1
replace task2and3=0 if task1==1

keep if emplB&lt;6
collapse nonvoters [aw=weight], by(year task1 task2and3)

graph twoway line  nonvoters year if task1==1, lc(green)  legend(label(1 &quot;Non-Routine Cognitive&quot;))  || ///
  line  nonvoters year if task2and3==1, lc(red) legend(label(2 &quot;Routine &amp; Manual&quot;))   ytitle(&quot;Non-Voters (%)&quot;, size(small))    legend(size(vsmall))  xtitle(&quot;Year&quot;, size(small))   ylabel(, labsize(vsmall))  xlabel(, labsize(vsmall))
graph save &quot;Figure/Nv.gph&quot;, replace

restore 
}
 * Combine multiple graphs into a single figure
graph combine &quot;Figure/ML.gph&quot; &quot;Figure/MR.gph&quot; &quot;Figure/RR.gph&quot; &quot;Figure/Nv.gph&quot;
* Export the combined graph as a PDF file named &quot;price_by_mpg.pdf&quot; in the &quot;Figure&quot; directory
graph export &quot;Figure/price_by_mpg.pdf&quot;, as(pdf) replace

* Erase (delete) the individual graph files from the &quot;Figure&quot; directory after combining them
erase &quot;Figure/ML.gph&quot;
erase &quot;Figure/MR.gph&quot;
erase &quot;Figure/RR.gph&quot;
erase &quot;Figure/Nv.gph&quot;



}</code></pre>
<pre><code>(162,633 missing values generated)
(43,947 real changes made)
(71,529 real changes made)
(17,803 observations deleted)
(file Figure/RR.gph not found)
file Figure/RR.gph saved
(162,633 missing values generated)
(43,947 real changes made)
(71,529 real changes made)
(17,803 observations deleted)
(file Figure/ML.gph not found)
file Figure/ML.gph saved
(162,633 missing values generated)
(43,947 real changes made)
(71,529 real changes made)
(17,803 observations deleted)
(file Figure/MR.gph not found)
file Figure/MR.gph saved
(162,633 missing values generated)
(43,947 real changes made)
(71,529 real changes made)
(17,803 observations deleted)
(file Figure/Nv.gph not found)
file Figure/Nv.gph saved
file Figure/price_by_mpg.pdf saved as PDF format</code></pre>
<div class="float">
<embed 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" style="width:12cm"></embed>
<div class="figcaption">Figure 2: Electoral consequences, Routine and
Non-Routine Voters</div>
</div>
</div>
</div>
<div id="vote-switching-across-institutions" class="section level1">
<h1>Vote-switching across Institutions</h1>
<div id="us-1_1_switching_us.do" class="section level2">
<h2>US [1_1_Switching_US.do]</h2>
<ul>
<li>This do-file:
<ul>
<li>Processing of the data
<ul>
<li>Call the Data</li>
<li>Define variables</li>
<li>Save the data</li>
</ul></li>
<li>Load preapred data <strong>line 794</strong></li>
<li>Analysis and Descriptives: Export Tables &amp; Figure</li>
</ul></li>
</ul>
<p>Input: GSS data - <code>Data\Switching\GSS7218_R3.dta</code></p>
<p>Final output:</p>
<ul>
<li>Cleaned data:
<ul>
<li><code>Data\GSS.dta</code> this data contains the relevant variables
for the analysis.</li>
</ul></li>
<li>Tables:
<ul>
<li>table A3: Switching Vote, IV - RTI, US
[<code>Table\USlong_2.tex</code>]</li>
<li>table A5: Switching Vote (alternative definition), IV - RTI
[<code>Table\USStrict_2.tex</code>]</li>
<li>table A6: Switching Vote, IV - Routine (dummy), US
[<code>Table\USdummy_2.tex</code>]</li>
<li>table A1: Descriptive statistic: USA GSS 2016 vs 2012
[<code>Table/summarystats_US.tex</code>]</li>
</ul></li>
<li>Figure:
<ul>
<li>Figure 3: The effect of exposure to automation on vote-switching.
[US Part] [<code>Figure\US.gph</code>]</li>
</ul></li>
</ul>
<p>First, you will find the code to prepare the data (hidden in the
pdf).</p>
<p>Loading the data.</p>
<pre class="stata"><code>*##########################################
* Alternatively load prepared data
*##########################################

use &quot;Data\GSS.dta&quot;, clear   
lab var  switching2_broad &quot;Switching broad&quot;  
lab var  switching_estrict &quot;Switching strict&quot;           </code></pre>
<div id="figure-3-the-effect-of-exposure-to-automation-on-vote-switching.-us-part" class="section level3">
<h3>Figure 3: The effect of exposure to automation on vote-switching.
[US Part]</h3>
<pre class="stata"><code>// Figure 3: The effect of exposure to automation on vote-switching. [US Part]      
{       
// Graph style      
grstyle clear       
set scheme s2color      
grstyle init        
grstyle set plain, nogrid       
grstyle color background white      
        
        
logit  switching_estrict  rti female age  foreign   rincome offshwalt2  relskillspec t2 t3 i.region  [pw=wtssnr] if year==2018  
        
margins, atmeans at(rti=(-1.52(0.1)2.24))       
}    </code></pre>
<pre class="stata"><code>marginsplot , recast(line) recastci(rline) ci1opts(fintensity(50) lpattern(dot)) xti(Risk of automation (RTI - Index)) yti(Predicted Probability of Switching (95% CI)) ti(&quot;US&quot;) saving(&quot;Figure\US.gph&quot;, replace)       
// Export the same plot to a PDF file
graph export &quot;Figure\US.pdf&quot;, replace</code></pre>
<pre><code>Variables that uniquely identify margins: rti
file Figure\US.gph saved

file Figure\US.pdf saved as PDF format</code></pre>
<div class="float">
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" style="width:12cm"></embed>
<div class="figcaption">Figure 3: The effect of exposure to automation
on vote-switching - US part</div>
</div>
</div>
<div id="table-a3-switching-vote-iv---rti-us" class="section level3">
<h3>Table A3: Switching Vote, IV - RTI, US</h3>
<pre class="stata"><code>*##########################################     
* Analysis      
*##########################################     
// table A3: Switching Vote, IV - RTI, US       

eststo clear
eststo: qui logit switching2_broad rti  female age   foreign educ i.rincome  [pw=wtssnr] if year==2018, robust              
eststo: qui logit switching2_broad rti  female age   foreign educ i.rincome offshwalt2  i.region [pw=wtssnr] if year==2018, robust  
eststo: qui logit switching2_broad rti  female age   foreign educ i.rincome offshwalt2 relskillspec  i.region [pw=wtssnr] if year==2018, robust         
eststo: qui logit switching2_broad rti  female age   foreign educ i.rincome offshwalt2 relskillspec t2 t3 unemployed black nonrelig i.region [pw=wtssnr] if year==2018, robust      

esttab , replace label se title(Switching Vote, IV - RTI \label {tab:rtilong})mti(&quot;+Demographic&quot; &quot;+Offshoring&quot; &quot;+Skill&quot; &quot;All&quot;) compress nogap star(* 0.1 ** 0.05 *** 0.01) b(%6.3f) keep(rti  female age   foreign educ offshwalt2 relskillspec t2 t3  unemployed black nonrelig) scalars( &quot;N Observations&quot; &quot;r2_p R$^2 p$&quot; &quot;aic AIC&quot; ) indicate( &quot;Income = *.rincome&quot;  &quot;Regional controls = *.region&quot;)
        </code></pre>
<pre><code>(est1 stored)

(est2 stored)

(est3 stored)

(est4 stored)


Switching Vote, IV - RTI \label {tab:rtilong}
--------------------------------------------------------------------
                       (1)          (2)          (3)          (4)   
                 +Demogr~c    +Offsho~g       +Skill          All   
--------------------------------------------------------------------
Switching broad                                                     
RTI                  0.243*       0.376**      0.371**      0.396** 
                   (0.125)      (0.146)      (0.146)      (0.171)   
Female              -0.453       -0.475       -0.448       -0.632** 
                   (0.292)      (0.292)      (0.293)      (0.299)   
Age                  0.040***     0.046***     0.046***     0.042***
                   (0.009)      (0.009)      (0.009)      (0.009)   
Foreign born        -1.982***    -1.898***    -1.873***    -1.925***
                   (0.564)      (0.581)      (0.578)      (0.657)   
Education           -0.047       -0.026       -0.025       -0.045   
                   (0.054)      (0.059)      (0.059)      (0.061)   
Offshorability                   -0.586**     -0.588**     -0.638*  
                                (0.295)      (0.295)      (0.341)   
Skill-Specific~y                               0.023        0.039   
                                             (0.031)      (0.035)   
Task-Tech                                                  -0.220   
                                                          (0.410)   
Task-Inter                                                  0.105   
                                                          (0.427)   
Unemployed                                                 -0.865   
                                                          (0.900)   
Black                                                      -3.767***
                                                          (1.070)   
Non-Believer                                               -2.021***
                                                          (0.510)   
Income                 Yes          Yes          Yes          Yes   
Regional contr~s        No          Yes          Yes          Yes   
--------------------------------------------------------------------
Observations           704          704          704          704   
R$^2 p$              0.100        0.158        0.159        0.268   
AIC                583.652      565.677      567.117      509.700   
--------------------------------------------------------------------
Standard errors in parentheses
* p&lt;0.1, ** p&lt;0.05, *** p&lt;0.01</code></pre>
<pre class="stata"><code>esttab using &quot;Table\USlong_2.tex&quot;, replace label se title(Switching Vote, IV - RTI, US \label {tab:rtilong})mti(&quot;+Demographic&quot; &quot;+Offshoring&quot; &quot;+Skill&quot; &quot;All&quot;) compress nogap star(* 0.1 ** 0.05 *** 0.01) b(%6.3f) keep(rti  female age   foreign educ offshwalt2 relskillspec t2 t3  unemployed black nonrelig) scalars( &quot;N Observations&quot; &quot;r2_p R$^2 p$&quot; &quot;aic AIC&quot; ) indicate( &quot;Income = *.rincome&quot;  &quot;Regional controls = *.region&quot;)
</code></pre>
<pre><code>(output written to Table\USlong_2.tex)</code></pre>
</div>
<div id="table-a5-switching-vote-alternative-definition-iv---rti" class="section level3">
<h3>Table A5: Switching Vote (alternative definition), IV - RTI</h3>
<pre class="stata"><code>// table A5: Switching Vote (alternative definition), IV - RTI      
{       
eststo clear
eststo: qui logit switching_estrict rti  female age   foreign educ i.rincome  i.region [pw=wtssnr] if year==2018, robust        
eststo: qui logit switching_estrict rti  female age   foreign educ i.rincome offshwalt2  i.region [pw=wtssnr] if year==2018, robust     
eststo: qui logit switching_estrict rti  female age   foreign educ i.rincome offshwalt2 relskillspec  i.region [pw=wtssnr] if year==2018, robust        
eststo: qui logit switching_estrict rti  female age   foreign educ i.rincome offshwalt2 relskillspec t2 t3 unemployed black nonrelig i.region [pw=wtssnr] if year==2018, robust     

esttab , replace label se title(Switching Vote (alternative definition), IV - RTI \label {tab:rtilongstrict})mti(&quot;+Demographic&quot; &quot;+Offshoring&quot; &quot;+Skill&quot; &quot;All&quot;) compress nogap star(* 0.1 ** 0.05 *** 0.01) b(%6.3f) keep(rti  female age   foreign educ offshwalt2 relskillspec t2 t3  unemployed black nonrelig) scalars( &quot;N Observations&quot; &quot;r2_p R$^2 p$&quot; &quot;aic AIC&quot; )  indicate( &quot;Income = *.rincome&quot;  &quot;Regional controls = *.region&quot;)      

        
        
}       </code></pre>
<pre><code>(est1 stored)
(est2 stored)
(est3 stored)
(est4 stored)

Switching Vote (alternative definition), IV - RTI \label {tab:rtilongstrict}
--------------------------------------------------------------------
                       (1)          (2)          (3)          (4)   
                 +Demogr~c    +Offsho~g       +Skill          All   
--------------------------------------------------------------------
Switching strict                                                    
RTI                  0.339*       0.388*       0.419*       0.821***
                   (0.198)      (0.211)      (0.218)      (0.259)   
Female              -0.910**     -0.961**     -1.027***    -1.111** 
                   (0.375)      (0.381)      (0.394)      (0.486)   
Age                  0.038***     0.042***     0.042***     0.025   
                   (0.013)      (0.013)      (0.013)      (0.016)   
Foreign born        -2.445***    -2.377***    -2.421***    -2.132** 
                   (0.654)      (0.701)      (0.704)      (0.900)   
Education           -0.259***    -0.241***    -0.242***    -0.233***
                   (0.074)      (0.078)      (0.079)      (0.081)   
Offshorability                   -0.559       -0.568       -1.154** 
                                (0.396)      (0.397)      (0.578)   
Skill-Specific~y                              -0.037       -0.050   
                                             (0.038)      (0.045)   
Task-Tech                                                   0.007   
                                                          (0.642)   
Task-Inter                                                 -0.407   
                                                          (0.698)   
Unemployed                                                 -0.575   
                                                          (0.909)   
Black                                                      -5.275***
                                                          (1.404)   
Non-Believer                                               -2.122***
                                                          (0.590)   
Income                 Yes          Yes          Yes          Yes   
Regional contr~s       Yes          Yes          Yes          Yes   
--------------------------------------------------------------------
Observations           236          236          236          236   
R$^2 p$              0.264        0.272        0.274        0.475   
AIC                283.080      282.530      283.818      228.620   
--------------------------------------------------------------------
Standard errors in parentheses
* p&lt;0.1, ** p&lt;0.05, *** p&lt;0.01</code></pre>
<pre class="stata"><code>esttab using &quot;Table\USStrict_2.tex&quot;, replace label se title(Switching Vote (alternative definition), IV - RTI, US \label {tab:rtilongstrict})mti(&quot;+Demographic&quot; &quot;+Offshoring&quot; &quot;+Skill&quot; &quot;All&quot;) compress nogap star(* 0.1 ** 0.05 *** 0.01) b(%6.3f) keep(rti  female age   foreign educ offshwalt2 relskillspec t2 t3  unemployed black nonrelig) scalars( &quot;N Observations&quot; &quot;r2_p R$^2 p$&quot; &quot;aic AIC&quot; )  indicate( &quot;Income = *.rincome&quot;  &quot;Regional controls = *.region&quot;)      
</code></pre>
<pre><code>(output written to Table\USStrict_2.tex)</code></pre>
</div>
<div id="table-a6-switching-vote-iv---routine-dummy-us" class="section level3">
<h3>Table A6: Switching Vote, IV - Routine (dummy), US</h3>
<pre class="stata"><code>// table A6: Switching Vote, IV - Routine (dummy), US       
{       
eststo clear
// Routine Dummy
eststo: qui logit switching2_broad task3cog2and3  female age   foreign educ i.rincome  i.region [pw=wtssnr] if year==2018, robust       
eststo: qui logit switching2_broad task3cog2and3  female age   foreign educ i.rincome offshwalt2  i.region [pw=wtssnr] if year==2018, robust
eststo: qui logit switching2_broad task3cog2and3  female age   foreign educ i.rincome offshwalt2 relskillspec i.region [pw=wtssnr] if year==2018, robust        
        
eststo: qui logit switching2_broad task3cog2and3  female age   foreign educ i.rincome offshwalt2 relskillspec t2 t3 unemployed black nonrelig i.region [pw=wtssnr] if year==2018, robust        

esttab , replace label se title(Switching Vote, IV - Routine (dummy) \label {tab:task3cog2and3})mti(&quot;+Demographic&quot; &quot;+Offshoring&quot; &quot;+Skill&quot; &quot;All&quot;) compress nogap star(* 0.1 ** 0.05 *** 0.01) b(%6.3f) keep(task3cog2and3  female age   foreign educ offshwalt2 relskillspec t2 t3  unemployed black nonrelig) scalars( &quot;N Observations&quot; &quot;r2_p R$^2 p$&quot; &quot;aic AIC&quot; ) indicate( &quot;Income = *.rincome&quot;  &quot;Regional controls = *.region&quot;)      

        
        
}       </code></pre>
<pre><code>(est1 stored)
(est2 stored)
(est3 stored)
(est4 stored)

Switching Vote, IV - Routine (dummy) \label {tab:task3cog2and3}
--------------------------------------------------------------------
                       (1)          (2)          (3)          (4)   
                 +Demogr~c    +Offsho~g       +Skill          All   
--------------------------------------------------------------------
Switching broad                                                     
Routine              0.950***     0.900***     0.865***     0.873***
                   (0.308)      (0.306)      (0.310)      (0.329)   
Female              -0.364       -0.373       -0.359       -0.577** 
                   (0.273)      (0.275)      (0.276)      (0.291)   
Age                  0.045***     0.046***     0.048***     0.042***
                   (0.009)      (0.008)      (0.009)      (0.009)   
Foreign born        -1.592***    -1.562***    -1.528***    -1.590***
                   (0.508)      (0.503)      (0.505)      (0.559)   
Education            0.021        0.022        0.020        0.013   
                   (0.055)      (0.055)      (0.055)      (0.058)   
Offshorability                   -0.305       -0.326       -0.516   
                                (0.261)      (0.269)      (0.335)   
Skill-Specific~y                               0.016        0.044   
                                             (0.033)      (0.036)   
Task-Tech                                                  -0.482   
                                                          (0.403)   
Task-Inter                                                 -0.299   
                                                          (0.396)   
Unemployed                                                 -1.111   
                                                          (0.956)   
Black                                                      -3.861***
                                                          (1.077)   
Non-Believer                                               -2.095***
                                                          (0.509)   
Income                 Yes          Yes          Yes          Yes   
Regional contr~s       Yes          Yes          Yes          Yes   
--------------------------------------------------------------------
Observations           770          770          767          767   
R$^2 p$              0.150        0.153        0.155        0.264   
AIC                613.107      613.307      610.766      547.849   
--------------------------------------------------------------------
Standard errors in parentheses
* p&lt;0.1, ** p&lt;0.05, *** p&lt;0.01</code></pre>
<pre class="stata"><code>esttab using &quot;Table\USdummy_2.tex&quot;, replace label se title(Switching Vote, IV - Routine (dummy), US \label {tab:task3cog2and3})mti(&quot;+Demographic&quot; &quot;+Offshoring&quot; &quot;+Skill&quot; &quot;All&quot;) compress nogap star(* 0.1 ** 0.05 *** 0.01) b(%6.3f) keep(task3cog2and3  female age   foreign educ offshwalt2 relskillspec t2 t3  unemployed black nonrelig) scalars( &quot;N Observations&quot; &quot;r2_p R$^2 p$&quot; &quot;aic AIC&quot; ) indicate( &quot;Income = *.rincome&quot;  &quot;Regional controls = *.region&quot;)       
</code></pre>
<pre><code>(output written to Table\USdummy_2.tex)</code></pre>
</div>
<div id="table-a1-descriptive-statistic-usa-gss-2016-vs-2012" class="section level3">
<h3>Table A1: Descriptive statistic: USA GSS 2016 vs 2012</h3>
<pre class="stata"><code>*##########################################     
* Descriptive       
*##########################################     

// table A1: Descriptive statistic: USA GSS 2016 vs 2012        

eststo clear
qui estpost sum switching2_broad   rti age  female   foreign black unemployed nonrelig rincome  region  offshwalt2 relskillspec t2 t3  [w=wtssnr] if year==2018, d      

 *esttab ,  /// ,  ,        
    cells(&quot;mean(label(Mean) fmt(2)) p50(label(Median) fmt(2)) sd(label(S.D.) fmt(2)) min(label(Min.) fmt(0)) max(label(Max) fmt(0)) count(label(Obs.) fmt(0))&quot;) /// 
    nonumber label replace noobs varlabels(switching2_broad &quot;Vote Switching&quot; rti &quot;RTI&quot; age &quot;Age&quot; female &quot;Female&quot; foreign &quot;Foreign born&quot; black &quot;Black&quot; unemployed &quot;Unemployed&quot; nonrelig &quot;Non-Believer&quot; rincome &quot;Income Level&quot; offshwalt2 &quot;Offshorability&quot; relskillspec &quot;Skill-Specificity&quot; t2 &quot;Task-Tech&quot; t3 &quot;Task-Inte&quot;) nomtitle 
 
esttab using  &quot;Table\summarystats_US.tex&quot;,  /// ,  ,        
    cells(&quot;mean(label(Mean) fmt(2)) p50(label(Median) fmt(2)) sd(label(S.D.) fmt(2)) min(label(Min.) fmt(0)) max(label(Max) fmt(0)) count(label(Obs.) fmt(0))&quot;) /// 
    nonumber label replace noobs varlabels(switching2_broad &quot;Vote Switching&quot; rti &quot;RTI&quot; age &quot;Age&quot; female &quot;Female&quot; foreign &quot;Foreign born&quot; black &quot;Black&quot; unemployed &quot;Unemployed&quot; nonrelig &quot;Non-Believer&quot; rincome &quot;Income Level&quot; offshwalt2 &quot;Offshorability&quot; relskillspec &quot;Skill-Specificity&quot; t2 &quot;Task-Tech&quot; t3 &quot;Task-Inte&quot;) nomtitle   
</code></pre>
<pre><code>(output written to Table\summarystats_US.tex)</code></pre>
<pre><code>{
\def\sym#1{\ifmmode^{#1}\else\(^{#1}\)\fi}
\begin{tabular}{l*{1}{cccccc}}
\hline\hline
                    &amp;        Mean&amp;      Median&amp;        S.D.&amp;        Min.&amp;         Max&amp;        Obs.\\
\hline
Vote Switching      &amp;        0.15&amp;        0.00&amp;        0.36&amp;           0&amp;           1&amp;        1468\\
RTI                 &amp;       -0.11&amp;       -0.44&amp;        0.98&amp;          -2&amp;           2&amp;        2045\\
Age                 &amp;       46.67&amp;       45.00&amp;       17.74&amp;          18&amp;          89&amp;        2341\\
Female              &amp;        0.54&amp;        1.00&amp;        0.50&amp;           0&amp;           1&amp;        2348\\
Foreign born        &amp;        0.14&amp;        0.00&amp;        0.34&amp;           0&amp;           1&amp;        2347\\
Black               &amp;        0.15&amp;        0.00&amp;        0.36&amp;           0&amp;           1&amp;        2348\\
Unemployed          &amp;        0.04&amp;        0.00&amp;        0.19&amp;           0&amp;           1&amp;        2348\\
Non-Believer        &amp;        0.24&amp;        0.00&amp;        0.43&amp;           0&amp;           1&amp;        2348\\
Income Level        &amp;       10.30&amp;       12.00&amp;        3.06&amp;           1&amp;          12&amp;        1315\\
region of interview &amp;        5.19&amp;        5.00&amp;        2.51&amp;           1&amp;           9&amp;        2348\\
Offshorability      &amp;        0.42&amp;        0.00&amp;        0.49&amp;           0&amp;           1&amp;        2248\\
Skill-Specificity   &amp;        4.12&amp;        3.38&amp;        3.32&amp;           1&amp;          25&amp;        2243\\
Task-Tech           &amp;        0.27&amp;        0.00&amp;        0.44&amp;           0&amp;           1&amp;        2248\\
Task-Inte           &amp;        0.38&amp;        0.00&amp;        0.49&amp;           0&amp;           1&amp;        2248\\
\hline\hline
\end{tabular}
}</code></pre>
</div>
</div>
<div id="germany-1_2_switching_germany.do" class="section level2">
<h2>Germany [1_2_Switching_Germany.do]</h2>
<ul>
<li>This do-file:
<ul>
<li>Processing of the data
<ul>
<li>Call the Data</li>
<li>Define variables</li>
<li>Save the data</li>
</ul></li>
<li>Load prepared data <strong>line 869</strong></li>
<li>Analysis and Descriptives: Export Tables &amp; Figure</li>
</ul></li>
<li>Input: GSS data
<ul>
<li><code>Data\Switching\pgen.dta</code></li>
<li><code>Figure/US.gph</code> this will be used to merge with
<code>German.gph</code> (i.e you should run first
<code>1_1_Switching_US.do</code>)</li>
</ul></li>
</ul>
<p>Final output:</p>
<ul>
<li>Cleaned data:
<ul>
<li><code>Data\SOEP.dta</code> this data contains the relevant variables
for the analysis.</li>
</ul></li>
<li>Tables:
<ul>
<li>table A4: Switching Vote (Only left) - Germany, IV - RTI
[<code>Table\SDU.tex</code>]</li>
<li>table A7: Switching Vote From Establishment Left and Right to
Populist Right, IV - RTI, German
[<code>Table\SOEPlong_2.tex</code>]</li>
<li>table A8: Switching Vote, IV - Routine (dummy), Germany
[<code>Table\SOEPdummy_2.tex</code>]</li>
<li>table A9: Switching Vote (Only from the Right), IV - RTI
[<code>Table\CDU.tex</code>]</li>
</ul></li>
<li>Figures:</li>
<li>Figure 3: The effect of exposure to automation on vote-switching.
[German Part] [<code>Figure/Germany.gph</code>]</li>
<li>Figure 3: The effect of exposure to automation on vote-switching.
[Merging gph US and German part]
[<code>Figure/Graph_US_Germany.pdf</code>]</li>
</ul>
<p>Loading the data.</p>
<pre class="stata"><code>*##########################################
* Alternatively load prepared data
*##########################################

use &quot;Data\SOEP.dta&quot;, clear  
    </code></pre>
<div id="figure-3-the-effect-of-exposure-to-automation-on-vote-switching.-german-part" class="section level3">
<h3>Figure 3: The effect of exposure to automation on vote-switching.
[German Part]</h3>
<pre class="stata"><code>// Graph style  
grstyle clear   
set scheme s2color  
grstyle init    
grstyle set plain, nogrid   
grstyle color background white  
    
// Figure 3: The effect of exposure to automation on vote-switching. [German part]  
// Margins  

logit  switching2   rti  female age  foreign   income offshwalt2      [pw=phrf] if year==2018 
    
margins, atmeans at(rti=(-1.52(0.05)2.24))  

     </code></pre>
<pre class="stata"><code>     marginsplot , recast(line) recastci(rline) ci1opts(fintensity(50) lpattern(dot)) xti(Risk of automation (RTI - Index)) yti(Predicted Probability of Switching (95% CI)) ti(&quot;Germany&quot;)  saving(&quot;Figure/Germany.gph&quot;, replace)   

    
 graph combine &quot;Figure/US.gph&quot; &quot;Figure/Germany.gph&quot; 
 graph export &quot;Figure/Graph_US_Germany.pdf&quot;, as(pdf) replace    </code></pre>
<pre><code>Variables that uniquely identify margins: rti
file Figure/Germany.gph saved


file Figure/Graph_US_Germany.pdf saved as PDF format</code></pre>
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" style="width:12cm"></embed>
<div class="figcaption">Figure 3: The effect of exposure to automation
on vote-switching</div>
</div>
</div>
<div id="table-a4-switching-vote-only-left---germany-iv---rti" class="section level3">
<h3>Table A4: Switching Vote (Only left) - Germany, IV - RTI</h3>
<pre class="stata"><code>*##########################################     
* Analysis      
*##########################################     
// table A4: Switching Vote (Only left) - Germany, IV - RTI 
{   
eststo clear                    
eststo: qui logit switching2 rti  female age   foreign high i.rincome   [pw=phrf]   if year==2018, robust               
eststo: qui logit switching2 rti  female age   foreign high i.rincome offshwalt2  i.sampreg [pw=phrf]   if year==2018, robust               
eststo: qui logit switching2 rti  female age   foreign high i.rincome offshwalt2 relskillspec  i.sampreg  [pw=phrf]     if year==2018   , robust            
eststo: qui logit switching2 rti  female age   foreign high i.rincome offshwalt2 relskillspec t2 t3 i.sampreg  [pw=phrf]    if year==2018   , robust            

esttab, replace label se title(Switching Vote (Only left), IV - RTI \label {tab:left})mti(&quot;+Demographic&quot; &quot;+Offshoring&quot; &quot;+Skill&quot;  &quot;All&quot;)  compress nogap star(* 0.1 ** 0.05 *** 0.01) b(%6.3f) keep(rti  female age    high offshwalt2 relskillspec t2 t3) scalars( &quot;N Observations&quot; &quot;r2_p R$^2$&quot; &quot;aic AIC&quot; )indicate( &quot;Income = *income&quot;  &quot;Regional controls = *.sampreg&quot;)                  

}   
</code></pre>
<pre><code>(est1 stored)
(est2 stored)
(est3 stored)
(est4 stored)

Switching Vote (Only left), IV - RTI \label {tab:left}
--------------------------------------------------------------------
                       (1)          (2)          (3)          (4)   
                 +Demogr~c    +Offsho~g       +Skill          All   
--------------------------------------------------------------------
Left to Pop Ri~t                                                    
RTI Index            0.210        0.902***     0.981***     0.887***
                   (0.197)      (0.323)      (0.317)      (0.248)   
Female              -0.427       -0.501       -0.301       -0.168   
                   (0.949)      (0.887)      (0.876)      (0.837)   
Age                 -0.029       -0.037       -0.047       -0.046   
                   (0.037)      (0.033)      (0.031)      (0.030)   
High-Skilled        -1.402       -1.464       -1.470       -1.447   
                   (1.030)      (1.462)      (1.359)      (1.265)   
Offshorability                   -2.773**     -3.049***    -3.131***
                                (1.201)      (0.948)      (1.004)   
Skill-Specific~y                               0.138**      0.129** 
                                             (0.055)      (0.058)   
Task-Tech                                                   0.108   
                                                          (0.959)   
Task-Inter                                                 -0.664   
                                                          (1.195)   
Income                 Yes          Yes          Yes          Yes   
Regional contr~s        No          Yes          Yes          Yes   
--------------------------------------------------------------------
Observations          1070         1070         1070         1066   
R$^2$                0.067        0.182        0.202        0.210   
AIC                4.5e+05      4.0e+05      3.9e+05      3.8e+05   
--------------------------------------------------------------------
Standard errors in parentheses
* p&lt;0.1, ** p&lt;0.05, *** p&lt;0.01</code></pre>
<pre class="stata"><code>esttab using &quot;Table\SDU.tex&quot;, replace label se title(Switching Vote (Only left), IV - RTI, Germany  \label {tab:left})mti(&quot;+Demographic&quot; &quot;+Offshoring&quot; &quot;+Skill&quot;  &quot;All&quot;)  compress nogap star(* 0.1 ** 0.05 *** 0.01) b(%6.3f) keep(rti  female age    high offshwalt2 relskillspec t2 t3) scalars( &quot;N Observations&quot; &quot;r2_p R$^2$&quot; &quot;aic AIC&quot; )indicate( &quot;Income = *income&quot;  &quot;Regional controls = *.sampreg&quot;)                  
</code></pre>
<pre><code>(output written to Table\SDU.tex)</code></pre>
</div>
<div id="table-a7-switching-vote-from-establishment-left-and-right-to-populist-right-iv---rti-german" class="section level3">
<h3>Table A7: Switching Vote From Establishment Left and Right to
Populist Right, IV - RTI, German</h3>
<pre class="stata"><code>// table A7: Switching Vote From Establishment Left and Right to Populist Right, IV - RTI, German   
{   
eststo clear                    
eststo: qui logit switching2_broad rti  female age   foreign high i.rincome    [pw=phrf] if year==2018  , robust                
eststo: qui logit switching2_broad rti  female age   foreign high i.rincome offshwalt2  i.sampreg [pw=phrf] if year==2018   , robust                
eststo: qui logit switching2_broad rti  female age   foreign high i.rincome offshwalt2 relskillspec  i.sampreg [pw=phrf] if year==2018      , robust            
eststo: qui logit switching2_broad rti  female age   foreign high i.rincome offshwalt2 relskillspec t2 t3 i.sampreg [pw=phrf] if year==2018     , robust            

esttab, replace label se title(Switching Vote From Establishment Left and Right to Populist Right, IV - RTI, Germany \label {tab:Table1rtilongswnarrow2})mti(&quot;+Demographic&quot; &quot;+Offshoring&quot; &quot;+Skill&quot;  &quot;All&quot;) compress nogap star(* 0.1 ** 0.05 *** 0.01) b(%6.3f) keep(rti  female age   foreign high offshwalt2 relskillspec t2 t3) scalars(&quot;N Observations&quot; &quot;r2_p R$^2$&quot; &quot;aic AIC&quot;) indicate( &quot;Income = *income&quot;  &quot;Regional controls = *.sampreg&quot;)                  
    
}   </code></pre>
<pre><code>(est1 stored)
(est2 stored)
(est3 stored)
(est4 stored)

Switching Vote From Establishment Left and Right to Populist Right, IV - RTI, G
&gt; ermany \label {tab:Table1rtilongswnarrow2}
--------------------------------------------------------------------
                       (1)          (2)          (3)          (4)   
                 +Demogr~c    +Offsho~g       +Skill          All   
--------------------------------------------------------------------
Switching Vote                                                      
RTI Index            0.124        0.209*       0.207*       0.269*  
                   (0.098)      (0.125)      (0.120)      (0.140)   
Female              -1.260***    -1.212***    -1.272***    -1.365***
                   (0.227)      (0.226)      (0.237)      (0.257)   
Age                  0.003       -0.000        0.001        0.001   
                   (0.008)      (0.009)      (0.009)      (0.008)   
Foreign born        -1.125**     -0.966*      -0.948*      -0.973*  
                   (0.545)      (0.548)      (0.548)      (0.543)   
High-Skilled        -0.715**     -0.695**     -0.727**     -0.734** 
                   (0.328)      (0.327)      (0.325)      (0.317)   
Offshorability                   -0.331       -0.278       -0.072   
                                (0.270)      (0.277)      (0.322)   
Skill-Specific~y                              -0.050       -0.056   
                                             (0.035)      (0.038)   
Task-Tech                                                   0.176   
                                                          (0.347)   
Task-Inter                                                  0.603   
                                                          (0.412)   
Income                 Yes          Yes          Yes          Yes   
Regional contr~s        No          Yes          Yes          Yes   
--------------------------------------------------------------------
Observations          7522         7522         7522         7510   
R$^2$                0.068        0.081        0.084        0.087   
AIC                5.7e+06      5.6e+06      5.6e+06      5.6e+06   
--------------------------------------------------------------------
Standard errors in parentheses
* p&lt;0.1, ** p&lt;0.05, *** p&lt;0.01</code></pre>
<pre class="stata"><code>esttab using &quot;Table\SOEPlong_2.tex&quot;, replace label se title(Switching Vote From Establishment Left and Right to Populist Right, IV - RTI, Germany \label {tab:Table1rtilongswnarrow2})mti(&quot;+Demographic&quot; &quot;+Offshoring&quot; &quot;+Skill&quot;  &quot;All&quot;) compress nogap star(* 0.1 ** 0.05 *** 0.01) b(%6.3f) keep(rti  female age   foreign high offshwalt2 relskillspec t2 t3) scalars(&quot;N Observations&quot; &quot;r2_p R$^2$&quot; &quot;aic AIC&quot;) indicate( &quot;Income = *income&quot;  &quot;Regional controls = *.sampreg&quot;)                 
</code></pre>
<pre><code>(output written to Table\SOEPlong_2.tex)</code></pre>
</div>
<div id="table-a8-switching-vote-iv---routine-dummy-germany" class="section level3">
<h3>Table A8: Switching Vote, IV - Routine (dummy), Germany</h3>
<pre class="stata"><code>// table A6: Switching Vote, IV - Routine (dummy), US       
{       
eststo clear                
eststo: qui logit switching2_broad task3cog2and3  female age   foreign high i.rincome   [pw=phrf] if year==2018, robust                 
                    
eststo: qui logit switching2_broad task3cog2and3  female age   foreign high i.rincome offshwalt2  i.sampreg [pw=phrf] if year==2018     , robust            
eststo: qui logit switching2_broad task3cog2and3  female age   foreign high i.rincome offshwalt2 relskillspec i.sampreg [pw=phrf] if year==2018     , robust            
                    
eststo: qui logit switching2_broad task3cog2and3  female age   foreign high i.rincome offshwalt2 relskillspec t2 t3 i.sampreg [pw=phrf] if year==2018       , robust            

esttab  , replace label se title(Switching Vote, IV - Routine (dummy), Germany \label {tab:Table1rtilongswnarrowtask3cog2and3})mti(&quot;+Demographic&quot; &quot;+Offshoring&quot; &quot;+Skill&quot;  &quot;All&quot;) compress nogap star(* 0.1 ** 0.05 *** 0.01) b(%6.3f) keep(task3cog2and3  female age   foreign high offshwalt2 relskillspec t2 t3) scalars(&quot;N Observations&quot; &quot;r2_p R$^2$&quot; &quot;aic AIC&quot;) indicate( &quot;Income = *.rincome&quot;  &quot;Regional controls = *.sampreg&quot;)                


        
        
}       </code></pre>
<pre><code>(est1 stored)
(est2 stored)
(est3 stored)
(est4 stored)

Switching Vote, IV - Routine (dummy), Germany \label {tab:Table1rtilongswnarrow
&gt; task3cog2and3}
--------------------------------------------------------------------
                       (1)          (2)          (3)          (4)   
                 +Demogr~c    +Offsho~g       +Skill          All   
--------------------------------------------------------------------
Switching Vote                                                      
Routine              0.472*       0.463*       0.525**      0.576** 
                   (0.241)      (0.240)      (0.241)      (0.234)   
Female              -1.122***    -1.086***    -1.145***    -1.258***
                   (0.236)      (0.235)      (0.244)      (0.260)   
Age                  0.002        0.001        0.001        0.001   
                   (0.008)      (0.008)      (0.008)      (0.008)   
Foreign born        -0.817       -0.664       -0.652       -0.668   
                   (0.504)      (0.504)      (0.504)      (0.499)   
High-Skilled        -0.712**     -0.724**     -0.752**     -0.784** 
                   (0.310)      (0.313)      (0.312)      (0.305)   
Offshorability                   -0.083       -0.008        0.153   
                                (0.217)      (0.227)      (0.322)   
Skill-Specific~y                              -0.055       -0.047   
                                             (0.033)      (0.034)   
Task-Tech                                                  -0.086   
                                                          (0.303)   
Task-Inter                                                  0.334   
                                                          (0.383)   
Income                 Yes          Yes          Yes          Yes   
Regional contr~s        No          Yes          Yes          Yes   
--------------------------------------------------------------------
Observations          8386         8386         8346         8334   
R$^2$                0.067        0.077        0.080        0.082   
AIC                6.1e+06      6.1e+06      6.0e+06      6.0e+06   
--------------------------------------------------------------------
Standard errors in parentheses
* p&lt;0.1, ** p&lt;0.05, *** p&lt;0.01</code></pre>
<pre class="stata"><code>    esttab  using &quot;Table\SOEPdummy_2.tex&quot;, replace label se title(Switching Vote, IV - Routine (dummy), Germany \label {tab:Table1rtilongswnarrowtask3cog2and3})mti(&quot;+Demographic&quot; &quot;+Offshoring&quot; &quot;+Skill&quot;  &quot;All&quot;) compress nogap star(* 0.1 ** 0.05 *** 0.01) b(%6.3f) keep(task3cog2and3  female age   foreign high offshwalt2 relskillspec t2 t3) scalars(&quot;N Observations&quot; &quot;r2_p R$^2$&quot; &quot;aic AIC&quot;) indicate( &quot;Income = *.rincome&quot;  &quot;Regional controls = *.sampreg&quot;)               
</code></pre>
<pre><code>(output written to Table\SOEPdummy_2.tex)</code></pre>
</div>
<div id="table-a9-switching-vote-only-from-the-right-iv---rti" class="section level3">
<h3>Table A9: Switching Vote (Only from the Right), IV - RTI</h3>
<pre class="stata"><code>// table A9: Switching Vote (Only from the Right), IV - RTI 
eststo clear                
    eststo: qui logit switching2_r rti  female age   foreign high  i.rincome offshwalt2  i.sampreg [pw=phrf] if year==2018, robust                              
eststo: qui logit switching2_r rti  female age   foreign high  i.rincome offshwalt2  i.sampreg [pw=phrf] if year==2018, robust  
eststo: qui logit switching2_r rti  female age   foreign high  i.rincome offshwalt2 relskillspec  i.sampreg [pw=phrf] if year==2018 , robust        
eststo: qui logit switching2_r rti  female age   foreign high  i.rincome offshwalt2 relskillspec t2 t3 i.sampreg [pw=phrf] if year==2018    , robust                
        
esttab , replace label se title(PSwitching Vote (Only from the Right), IV - RTI \label {tab:CDU})mti(&quot;+Demographic&quot; &quot;+Offshoring&quot; &quot;+Skill&quot;  &quot;All&quot;)  compress nogap star(* 0.1 ** 0.05 *** 0.01) b(%6.3f) keep(rti  female age   foreign high offshwalt2 relskillspec t2 t3) scalars( &quot;N Observations&quot; &quot;r2_p R$^2$&quot; &quot;aic AIC&quot; )indicate( &quot;Income = *income&quot;  &quot;Regional controls = *.sampreg&quot;)                    
        

    </code></pre>
<pre><code>(est1 stored)

(est2 stored)

(est3 stored)

(est4 stored)


PSwitching Vote (Only from the Right), IV - RTI \label {tab:CDU}
--------------------------------------------------------------------
                       (1)          (2)          (3)          (4)   
                 +Demogr~c    +Offsho~g       +Skill          All   
--------------------------------------------------------------------
Right to AfD                                                        
RTI Index           -0.251       -0.251       -0.244       -0.113   
                   (0.335)      (0.335)      (0.307)      (0.324)   
Female              -1.781***    -1.781***    -1.854***    -2.097***
                   (0.650)      (0.650)      (0.654)      (0.688)   
Age                 -0.001       -0.001       -0.000        0.002   
                   (0.029)      (0.029)      (0.029)      (0.030)   
Foreign born         0.797        0.797        0.671        0.522   
                   (1.051)      (1.051)      (1.072)      (1.093)   
High-Skilled        -0.406       -0.406       -0.461       -0.713   
                   (0.806)      (0.806)      (0.806)      (0.560)   
Offshorability       1.140*       1.140*       1.241*       2.050** 
                   (0.668)      (0.668)      (0.691)      (1.008)   
Skill-Specific~y                              -0.113       -0.074   
                                             (0.094)      (0.095)   
Task-Tech                                                  -0.217   
                                                          (1.092)   
Task-Inter                                                  1.517   
                                                          (1.203)   
Income                 Yes          Yes          Yes          Yes   
Regional contr~s       Yes          Yes          Yes          Yes   
--------------------------------------------------------------------
Observations          1484         1484         1484         1478   
R$^2$                0.171        0.171        0.179        0.208   
AIC                7.3e+05      7.3e+05      7.3e+05      7.0e+05   
--------------------------------------------------------------------
Standard errors in parentheses
* p&lt;0.1, ** p&lt;0.05, *** p&lt;0.01</code></pre>
<pre class="stata"><code>esttab using &quot;Table\CDU.tex&quot;, replace label se title(PSwitching Vote (Only from the Right), IV - RTI, Germany \label {tab:CDU})mti(&quot;+Demographic&quot; &quot;+Offshoring&quot; &quot;+Skill&quot;  &quot;All&quot;)  compress nogap star(* 0.1 ** 0.05 *** 0.01) b(%6.3f) keep(rti  female age   foreign high offshwalt2 relskillspec t2 t3) scalars( &quot;N Observations&quot; &quot;r2_p R$^2$&quot; &quot;aic AIC&quot; )indicate( &quot;Income = *income&quot;  &quot;Regional controls = *.sampreg&quot;)                  
</code></pre>
<pre><code>(output written to Table\CDU.tex)</code></pre>
</div>
<div id="table-a2-descriptive-statistic-germany-soep-2014-vs-2018." class="section level3">
<h3>Table A2: Descriptive statistic: Germany SOEP 2014 vs 2018.</h3>
<pre class="stata"><code>*##########################################     
* Descriptive       
*##########################################     

// table A2: Descriptive statistic: Germany SOEP 2014 vs 2018.  

eststo clear
qui estpost sum  switching2_broad   rti age income female  foreign unemployed high  offshwalt2 relskillspec t2 t3 sampreg [w=phrf] if switching2_broad~=., d    
    
    
esttab using &quot;Table\summarystats_Germany.tex&quot; ,  /// ,  ,   
    cells(&quot;mean(label(Mean) fmt(2)) p50(label(Median) fmt(2)) sd(label(S.D.) fmt(2)) min(label(Min.) fmt(0)) max(label(Max) fmt(0)) count(label(Obs.) fmt(0))&quot;) ///
    nonumber label replace noobs varlabels(distance_redist &quot;Distance Redistribution&quot; distance_div &quot;Distance Diversity&quot; distance_fixed &quot;Distance Fixed Attributes&quot; PRITM &quot;PR with Trichotomous Multipartism&quot; totseats &quot;Total Number of Seats&quot; number2 &quot;Total Number of Parties&quot; oecdmember &quot;OECD member&quot;) nomtitle 
</code></pre>
<pre><code>(output written to Table\summarystats_Germany.tex)</code></pre>
<pre><code>{
\def\sym#1{\ifmmode^{#1}\else\(^{#1}\)\fi}
\begin{tabular}{l*{1}{cccccc}}
\hline\hline
                    &amp;        Mean&amp;      Median&amp;        S.D.&amp;        Min.&amp;         Max&amp;        Obs.\\
\hline
Switching Vote      &amp;        0.03&amp;        0.00&amp;        0.16&amp;           0&amp;           1&amp;       29235\\
RTI Index           &amp;       -0.12&amp;       -0.44&amp;        0.93&amp;          -2&amp;           2&amp;       10185\\
Age                 &amp;       50.75&amp;       51.00&amp;       18.91&amp;          17&amp;         103&amp;       29235\\
income              &amp;     2715.32&amp;     2500.00&amp;     1879.23&amp;          20&amp;       40000&amp;       13712\\
Female              &amp;        0.51&amp;        1.00&amp;        0.50&amp;           0&amp;           1&amp;       29235\\
Foreign born        &amp;        0.12&amp;        0.00&amp;        0.33&amp;           0&amp;           1&amp;       29235\\
Unemployed          &amp;        0.04&amp;        0.00&amp;        0.20&amp;           0&amp;           1&amp;       29207\\
High-Skilled        &amp;        0.32&amp;        0.00&amp;        0.47&amp;           0&amp;           1&amp;       29235\\
Offshorability      &amp;        0.46&amp;        0.00&amp;        0.50&amp;           0&amp;           1&amp;       11383\\
Skill-Specificity   &amp;        4.23&amp;        3.58&amp;        3.26&amp;           1&amp;          25&amp;       11333\\
Task-Tech           &amp;        0.34&amp;        0.00&amp;        0.47&amp;           0&amp;           1&amp;       11319\\
Task-Inter          &amp;        0.37&amp;        0.00&amp;        0.48&amp;           0&amp;           1&amp;       11319\\
Region (West 1 - East 2)&amp;        1.17&amp;        1.00&amp;        0.38&amp;           1&amp;           2&amp;       29235\\
\hline\hline
\end{tabular}
}</code></pre>
</div>
</div>
<div id="additional-context-of-switching-in-germany-1_3_switching_appendix_spoonkluver.do" class="section level2">
<h2>Additional Context of Switching in Germany
[1_3_Switching_Appendix_SpoonKluver.do]</h2>
<p>This do-file:</p>
<ul>
<li>Creates Table A11 using data from the ESS.</li>
</ul>
<p>Input:</p>
<ul>
<li><code>Data\Appendix_ESS.dta</code></li>
</ul>
<p>Output:</p>
<ul>
<li>Table A11: Switching in Western European Countries from Mainstream
Left to Outsider Radical Right parties 2002-2018
[<code>Table\ESS_switching.tex</code>]</li>
</ul>
<div id="table-a10-switching-in-germany-from-mainstream-to-non-mainstream-parties-2002-2009" class="section level3">
<h3>Table A10: Switching in Germany from mainstream to non-mainstream
parties 2002-2009</h3>
<pre class="stata"><code>*##########################################
* Load data
*##########################################

use &quot;Data\SpoonKluever_2019_EJPR_PartyConvergence.dta&quot;, clear 


*******************************************************************************
* Preparing variables
*******************************************************************************

* Election years
gen year = 2002 in 1
replace year = 2005 in 2
replace year = 2009 in 3
replace year = 2013 in 4

* Initialize variables
gen SPD = .
gen Liberal = .
gen CDU = .
gen Total_Switching = .

* Election dates and party codes
local dates &quot;22sep2002 18sep2005 27sep2009 22sep2013&quot;
local SPD 41320
local Liberal 41420
local CDU 41521

* Loop over each date
local i = 1
foreach date of local dates {
    * Total Switching for the date
    quietly summarize switch_main if country == 41 &amp; edate == date(&quot;`date&#39;&quot;, &quot;DMY&quot;)
    replace Total_Switching = r(mean) * 100 in `i&#39;

    * SPD
    quietly summarize switch_main if country == 41 &amp; edate == date(&quot;`date&#39;&quot;, &quot;DMY&quot;) &amp; party_last == `SPD&#39;
    replace SPD = r(mean) * 100 in `i&#39;

    * Liberal
    quietly summarize switch_main if country == 41 &amp; edate == date(&quot;`date&#39;&quot;, &quot;DMY&quot;) &amp; party_last == `Liberal&#39;
    replace Liberal = r(mean) * 100 in `i&#39;

    * CDU
    quietly summarize switch_main if country == 41 &amp; edate == date(&quot;`date&#39;&quot;, &quot;DMY&quot;) &amp; party_last == `CDU&#39;
    replace CDU = r(mean) * 100 in `i&#39;

    local i = `i&#39; + 1
}

* Format the variables to display one decimal place
format SPD Liberal CDU Total_Switching %4.1f

// table A10: Switching in Germany from mainstream to non-mainstream parties 2002-2009

* Use tabdisp to display the results in a tabular format
tabdisp year, c(SPD Liberal CDU Total_Switching)</code></pre>
<pre><code>(Spoon/Klüver (2019) EJPR: Party covergence and vote switching)

(14,633 missing values generated)

(1 real change made)

(1 real change made)

(1 real change made)

(14,634 missing values generated)

(14,634 missing values generated)

(14,634 missing values generated)

(14,634 missing values generated)






  3.     replace Total_Switching = r(mean) * 100 in `i&#39;
  4. 
  5.     replace SPD = r(mean) * 100 in `i&#39;
  6. 
  7.     replace Liberal = r(mean) * 100 in `i&#39;
  8. 
  9.     replace CDU = r(mean) * 100 in `i&#39;
 10. 
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)



------------------------------------------------------------------------------
     year |             SPD          Liberal              CDU  Total_Switching
----------+-------------------------------------------------------------------
     2002 |            10.6             12.0              1.5              7.1
     2005 |             0.4              8.1              4.1              5.0
     2009 |             1.9              9.1              0.9              3.8
     2013 |             9.8             22.2              3.1              6.7
        . |                                                                   
------------------------------------------------------------------------------</code></pre>
</div>
</div>
<div id="switching-cross-sectional-based-on-ess-1_4_switching_appendix_ess.do" class="section level2">
<h2>Switching Cross-sectional based on ESS
[1_4_Switching_Appendix_ESS.do]</h2>
<pre class="stata"><code>*##########################################
* Load data
*##########################################
use &quot;Data\Appendix_ESS.dta&quot;, clear 
</code></pre>
<div id="table-a11-switching-in-western-european-countries-from-mainstream-left-to-outsider-radical-right-parties-2002-2018" class="section level3">
<h3>Table A11: Switching in Western European Countries from Mainstream
Left to Outsider Radical Right parties 2002-2018</h3>
<pre class="stata"><code>
// table A11: Switching in Western European Countries from Mainstream Left to Outsider Radical Right parties 2002-2018
{
eststo clear  // Clear any previously stored estimates

// Estimate logistic regression for &#39;switching2&#39; with various predictors, storing the results. First results are swithing from any party. 
eststo:  logit switching2  meanprobfreyosborne  unemplindiv2 female agea mbtru2 rlgdgr    i.country2 i.year  if west2==1, cluster(countr_year)
eststo:  logit switching2  rti   unemplindiv2  female agea mbtru2 rlgdgr     i.country2 i.year if west2==1, cluster(countr_year)
eststo:  logit switching2  task3cog2and3   unemplindiv2  female agea mbtru2 rlgdgr i.country2 i.year  if west2==1, cluster(countr_year)

// Estimate logistic regression for &#39;switching2_leftboth&#39; (switching from left parties to nationalist) with various predictors, storing the results
eststo:  logit switching2_leftboth  meanprobfreyosborne  unemplindiv2 female agea mbtru2 rlgdgr     i.country2 i.year   if west2==1, cluster(countr_year)
eststo:  logit switching2_leftboth  rti  unemplindiv2   female agea  mbtru2 rlgdgr    i.country2 i.year  if west2==1 , cluster(countr_year)
eststo:  logit switching2_leftboth  task3cog2and3  unemplindiv2    female agea mbtru2 rlgdgr     i.country2 i.year  if west2==1 , cluster(countr_year)

// Generate an output table with specific variables, saving it in the current results
    


}</code></pre>
<pre class="stata"><code>   esttab   ///
        , keep(meanprobfreyosborne task3cog2and3 rti) replace label se compress nogap star(* 0.1 ** 0.05 *** 0.01) ///
        b(%6.3f) scalars( &quot;N Observations&quot;  )   ///
        indicate(&quot;Demographics = *male*&quot; &quot;Socio-econ = *mbtru2*&quot;   &quot;Country FE = *country*&quot; &quot;Year FE = *year&quot;, label($\checkmark$ ))    ///
        noconstant nonotes nomtitles nodepvars

   esttab using &quot;Table\ESS_switching.tex&quot;, ///
         keep(meanprobfreyosborne task3cog2and3 rti) replace label se compress nogap star(* 0.1 ** 0.05 *** 0.01) ///
        b(%6.3f) scalars( &quot;N Observations&quot;  )   ///
        indicate(&quot;Demographics = *male*&quot; &quot;Socio-econ = *mbtru2*&quot;   &quot;Country FE = *country*&quot; &quot;Year FE = *year&quot;, label($\checkmark$ ))    ///
        noconstant nonotes nomtitles nodepvars
</code></pre>
<pre><code>                       (1)          (2)          (3)          (4)          (5) 
&gt;          (6)   
-------------------------------------------------------------------------------
&gt; ---------------
main                                                                           
&gt;                
Computerizatio~)     0.626***                               0.850***           
&gt;                
                   (0.077)                                (0.226)              
&gt;                
RTI                               0.044*                                 0.112*
&gt;                
                                (0.024)                                (0.063) 
&gt;                
Routine                                        0.698***                        
&gt;        0.833***
                                             (0.056)                           
&gt;      (0.157)   
Demographics     $\check~$    $\check~$    $\check~$    $\check~$    $\check~$ 
&gt;    $\check~$   
Socio-econ       $\check~$    $\check~$    $\check~$    $\check~$    $\check~$ 
&gt;    $\check~$   
Country FE       $\check~$    $\check~$    $\check~$    $\check~$    $\check~$ 
&gt;    $\check~$   
Year FE          $\check~$    $\check~$    $\check~$    $\check~$    $\check~$ 
&gt;    $\check~$   
-------------------------------------------------------------------------------
&gt; ---------------
Observations        148688       153158       174298       136250       151345 
&gt;       172359   
-------------------------------------------------------------------------------
&gt; ---------------

(output written to Table\ESS_switching.tex)</code></pre>
<pre><code>{
\def\sym#1{\ifmmode^{#1}\else\(^{#1}\)\fi}
\begin{tabular}{l*{6}{c}}
\hline\hline
                &amp;\multicolumn{1}{c}{(1)}         &amp;\multicolumn{1}{c}{(2)}         &amp;\multicolumn{1}{c}{(3)}         &amp;\multicolumn{1}{c}{(4)}         &amp;\multicolumn{1}{c}{(5)}         &amp;\multicolumn{1}{c}{(6)}         \\
\hline
main            &amp;                  &amp;                  &amp;                  &amp;                  &amp;                  &amp;                  \\
Computerization (F\&amp;O)&amp;    0.626\sym{***}&amp;                  &amp;                  &amp;    0.850\sym{***}&amp;                  &amp;                  \\
                &amp;  (0.077)         &amp;                  &amp;                  &amp;  (0.226)         &amp;                  &amp;                  \\
RTI             &amp;                  &amp;    0.044\sym{*}  &amp;                  &amp;                  &amp;    0.112\sym{*}  &amp;                  \\
                &amp;                  &amp;  (0.024)         &amp;                  &amp;                  &amp;  (0.063)         &amp;                  \\
Routine         &amp;                  &amp;                  &amp;    0.698\sym{***}&amp;                  &amp;                  &amp;    0.833\sym{***}\\
                &amp;                  &amp;                  &amp;  (0.056)         &amp;                  &amp;                  &amp;  (0.157)         \\
Demographics    &amp;$\checkmark$         &amp;$\checkmark$         &amp;$\checkmark$         &amp;$\checkmark$         &amp;$\checkmark$         &amp;$\checkmark$         \\
Socio-econ      &amp;$\checkmark$         &amp;$\checkmark$         &amp;$\checkmark$         &amp;$\checkmark$         &amp;$\checkmark$         &amp;$\checkmark$         \\
Country FE      &amp;$\checkmark$         &amp;$\checkmark$         &amp;$\checkmark$         &amp;$\checkmark$         &amp;$\checkmark$         &amp;$\checkmark$         \\
Year FE         &amp;$\checkmark$         &amp;$\checkmark$         &amp;$\checkmark$         &amp;$\checkmark$         &amp;$\checkmark$         &amp;$\checkmark$         \\
\hline
Observations    &amp;   148688         &amp;   153158         &amp;   174298         &amp;   136250         &amp;   151345         &amp;   172359         \\
\hline\hline
\end{tabular}
}</code></pre>
</div>
</div>
</div>
<div id="messaging-and-targeting-strategies-candidate-rhetoric-and-party-platforms" class="section level1">
<h1>Messaging and Targeting Strategies: Candidate Rhetoric and Party
Platforms</h1>
<div id="majoritarian-systems-messaging-and-targeting-strategies-in-the-us" class="section level2">
<h2>Majoritarian Systems: Messaging and Targeting Strategies in the
US</h2>
<div id="topic-analysis-2_3_speech_us_germany_appendix_nmf.ipynb" class="section level3">
<h3>Topic Analysis [2_3_Speech_US_Germany_Appendix_NMF.ipynb]</h3>
<p>This file:</p>
<ul>
<li>Creates inputs for Table A17: NMF Topic Modeling.</li>
<li>First it does the NMF for the US, then for Germany.</li>
<li>Once topic are created the proportion of each one of them is
calculated.</li>
</ul>
<p>Input:</p>
<ul>
<li><code>Data/cleaned_data.csv</code> # Data for the US</li>
<li><code>Data/cleaned_data_G.csv</code> # Data for Germany</li>
</ul>
<p>Output:</p>
<ul>
<li>Inputs for Table A17: NMF Topic Modeling, 4 clusters, top-10
terms.</li>
</ul>
</div>
<div id="rallies-2_1_rally_us.do" class="section level3">
<h3>Rallies [2_1_Rally_US.do]</h3>
<p>This do-file:</p>
<ul>
<li>Creates table A13 using data collected for rallies, visits, and
exposure to automation.</li>
</ul>
<p>Input:</p>
<ul>
<li><code>Data\Rally_Visits_MSA.dta</code></li>
</ul>
<p>Output:</p>
<ul>
<li>Table 1: Trump’s Campaign Strategy (Close election 5)
[<code>Table\Trump_high_close5.tex</code>]</li>
<li>Table A13: Trump’s Campaing Strategy (Close election 10)
[<code>Table\Trump_high_close10.tex</code>]</li>
<li>Table A14: Trump’s Campaing Strategy (Forecasting 2016)
[<code>Table\Trump_high_forec.tex</code>]</li>
<li>Table A12: Summary statistics of variables used in this study about
Trump’s campaign strategies: rallies
[<code>Table\US_rallies_descriptive.tex</code>]</li>
</ul>
<pre class="stata"><code>*Calling the data
use &quot;Data\Rally_Visits_MSA.dta&quot;, clear </code></pre>
<div id="table-1-trumps-campaign-strategy" class="section level4">
<h4>Table 1: Trump’s Campaign Strategy</h4>
<pre class="stata"><code>// table 1: Trump&#39;s Campaign Strategy
{
gen interaction_pop5=high_pop_pop*close_election5
gen interaction2_pop5=high_pop_pop*close_election5
gen interaction3_pop5=high_pop_pop*anti_pop
gen interaction4_pop5=close_election5*anti_pop

lab var interaction_pop5 &quot;Exposed x Close Elections&quot;
lab var interaction2_pop5 &quot;Exposed x Close Elections&quot;
lab var interaction3_pop5 &quot;Exposed x Hate Incidents&quot;
lab var interaction4_pop5 &quot;Hate Incidents x Close&quot;
lab var close_election5 &quot;Close Elections&quot;


eststo clear

eststo: qui reg rallies_pop high_pop_pop close_election5  anti_pop $statesID , cluster(state_num)
eststo: qui reg rallies_pop high_pop_pop close_election5   interaction2_pop5  anti_pop $statesID ,cluster(state_num)
eststo: qui reg rallies_pop high_pop_pop close_election5   interaction3_pop5  anti_pop $statesID ,cluster(state_num)
eststo: qui reg rallies_pop high_pop_pop close_election5  interaction2_pop5 interaction3_pop5 interaction4_pop5  anti_pop $statesID   ,cluster(state_num)

esttab , replace label se title(Trump&#39;s Campaing Strategy \label {TableRallies})  mti(&quot;Simple&quot; &quot;Close&quot; &quot;Hate&quot; &quot;All&quot;)  compress nogap star(* 0.1 ** 0.05 *** 0.01) b(%6.3f) keep(high* anti_pop close_election* interaction*) scalars( &quot;N Observations&quot; &quot;r2 R$^2$&quot; &quot;aic AIC&quot; )  indicate(&quot;FE State = *AK&quot;) 



}</code></pre>
<pre><code>(est1 stored)
(est2 stored)
(est3 stored)
(est4 stored)

Trump&#39;s Campaing Strategy \label {TableRallies}
--------------------------------------------------------------------
                       (1)          (2)          (3)          (4)   
                    Simple        Close         Hate          All   
--------------------------------------------------------------------
Workers Expose~n     0.194***     0.177**      0.169**      0.155** 
                   (0.071)      (0.070)      (0.065)      (0.066)   
Close Elections      0.005*       0.001        0.007**      0.002   
                   (0.003)      (0.005)      (0.003)      (0.005)   
Hate Incidents~p    -0.052*      -0.051*       0.015        0.015   
                   (0.029)      (0.029)      (0.031)      (0.035)   
Exposed x Clos~s                  0.344***                  0.331***
                                (0.071)                   (0.091)   
Exposed x Hate~s                              -0.259       -0.249   
                                             (0.156)      (0.164)   
Hate Incidents~e                                           -0.033   
                                                          (0.031)   
FE State               Yes          Yes          Yes          Yes   
--------------------------------------------------------------------
Observations           381          381          381          381   
R$^2$                0.661        0.674        0.681        0.689   
AIC               -2.2e+03     -2.2e+03     -2.2e+03     -2.3e+03   
--------------------------------------------------------------------
Standard errors in parentheses
* p&lt;0.1, ** p&lt;0.05, *** p&lt;0.01</code></pre>
<pre class="stata"><code>esttab using &quot;Table\Trump_high_close5.tex&quot;, replace label se title(Trump&#39;s Campaing Strategy \label {TableRallies})  mti(&quot;Simple&quot; &quot;Close&quot; &quot;Hate&quot; &quot;All&quot;)   compress nogap star(* 0.1 ** 0.05 *** 0.01) b(%6.3f) keep(high* anti_pop close_election* interaction*)  indicate(&quot;FE State = *AK&quot; ) scalars( &quot;N Observations&quot; &quot;r2 R$^2$&quot; &quot;aic AIC&quot; )</code></pre>
<pre><code>(output written to Table\Trump_high_close5.tex)</code></pre>
</div>
<div id="table-a13-trumps-campaing-strategy-close-election-10" class="section level4">
<h4>Table A13: Trump’s Campaing Strategy (Close election 10)</h4>
<pre class="stata"><code>// table A13: Trump&#39;s Campaing Strategy (Close election 10)
{
gen interaction_pop=high_pop_pop*close_election
gen interaction2_pop=high_pop_pop*close_election
gen interaction3_pop=high_pop_pop*anti_pop
gen interaction4_pop=close_election*anti_pop


lab var interaction_pop &quot;Exposed x Close Elections&quot;
lab var interaction2_pop &quot;Exposed x Close Elections&quot;
lab var interaction3_pop &quot;Exposed x Hate Incidents&quot;
lab var interaction4_pop &quot;Hate Incidents x Close&quot;


eststo clear

eststo: qui reg rallies_pop high_pop_pop close_election  anti_pop $statesID , cluster(state_num)
eststo: qui reg rallies_pop high_pop_pop close_election interaction2_pop  anti_pop $statesID ,cluster(state_num)
eststo: qui reg rallies_pop high_pop_pop close_election   interaction3_pop  anti_pop $statesID ,cluster(state_num)
eststo: qui reg rallies_pop high_pop_pop close_election  interaction2_pop interaction3_pop interaction4_pop  anti_pop $statesID ,cluster(state_num)

esttab , replace label se title(Trump&#39;s Campaing Strategy \label {TableRallies})  mti(&quot;Simple&quot; &quot;Close&quot; &quot;Hate&quot; &quot;All&quot;) compress nogap star(* 0.1 ** 0.05 *** 0.01) b(%6.3f) keep(high* anti_pop close_election interaction*) scalars( &quot;N Observations&quot; &quot;r2 R$^2$&quot; &quot;aic AIC&quot; )  indicate(&quot;FE State = *AK&quot;) 



}</code></pre>
<pre><code>(est1 stored)
(est2 stored)
(est3 stored)
(est4 stored)

Trump&#39;s Campaing Strategy \label {TableRallies}
--------------------------------------------------------------------
                       (1)          (2)          (3)          (4)   
                    Simple        Close         Hate          All   
--------------------------------------------------------------------
Workers Expose~n     0.191***     0.052*       0.167***     0.062   
                   (0.067)      (0.029)      (0.062)      (0.039)   
Close Elections      0.016**      0.006        0.015**      0.006   
                   (0.006)      (0.004)      (0.006)      (0.004)   
Hate Incidents~p    -0.048*      -0.040        0.016       -0.023   
                   (0.028)      (0.026)      (0.030)      (0.050)   
Exposed x Clos~s                  0.301***                  0.238***
                                (0.077)                   (0.088)   
Exposed x Hate~s                              -0.249       -0.075   
                                             (0.156)      (0.185)   
Hate Incidents~e                                            0.016   
                                                          (0.038)   
FE State               Yes          Yes          Yes          Yes   
--------------------------------------------------------------------
Observations           381          381          381          381   
R$^2$                0.671        0.727        0.689        0.731   
AIC               -2.2e+03     -2.3e+03     -2.3e+03     -2.3e+03   
--------------------------------------------------------------------
Standard errors in parentheses
* p&lt;0.1, ** p&lt;0.05, *** p&lt;0.01</code></pre>
<pre class="stata"><code>esttab using &quot;Table\Trump_high_close10.tex&quot;, replace label se title(Trump&#39;s Campaing Strategy (Close election 10) \label {TableRallies10})  mti(&quot;Simple&quot; &quot;Close&quot; &quot;Hate&quot; &quot;All&quot;)  compress nogap star(* 0.1 ** 0.05 *** 0.01) b(%6.3f) keep(high* anti_pop close_election* interaction*)  indicate(&quot;FE State = *AK&quot; ) scalars( &quot;N Observations&quot; &quot;r2 R$^2$&quot; &quot;aic AIC&quot; )</code></pre>
<pre><code>(output written to Table\Trump_high_close10.tex)</code></pre>
</div>
<div id="table-a14-trumps-campaing-strategy-forecasting-2016" class="section level4">
<h4>Table A14: Trump’s Campaing Strategy (Forecasting 2016)</h4>
<pre class="stata"><code>
//table A14: Trump&#39;s Campaing Strategy (Forecasting 2016)
{
gen interaction_pop_f=high_pop_pop*forescasting2
gen interaction2_pop_f=high_pop_pop*forescasting2
gen interaction3_pop_f=high_pop_pop*anti_pop
gen interaction4_pop_f=forescasting2*anti_pop

lab var interaction_pop_f &quot;Exposed x Close Elections&quot;
lab var interaction2_pop_f &quot;Exposed x Close Elections&quot;
lab var interaction3_pop_f &quot;Exposed x Hate Incidents&quot;
lab var interaction4_pop_f &quot;Hate Incidents x Close&quot;
lab var forescasting2 &quot;Close Elections&quot;

eststo clear

eststo: qui reg rallies_pop high_pop_pop forescasting2  anti_pop $statesID , cluster(state_num)
eststo: qui reg rallies_pop high_pop_pop forescasting2 interaction2_pop_f  anti_pop $statesID ,cluster(state_num)
eststo: qui reg rallies_pop high_pop_pop forescasting2   interaction3_pop_f  anti_pop $statesID ,cluster(state_num)
eststo: qui reg rallies_pop high_pop_pop forescasting2  interaction2_pop_f interaction3_pop_f interaction4_pop_f  anti_pop $statesID ,cluster(state_num)

esttab , replace label se title(Trump&#39;s Campaing Strategy \label {TableRallies})  mti(&quot;Simple&quot; &quot;Close&quot; &quot;Hate&quot; &quot;All&quot;)  compress nogap star(* 0.1 ** 0.05 *** 0.01) b(%6.3f) keep(high* anti_pop forescasting2 interaction*) scalars( &quot;N Observations&quot; &quot;r2 R$^2$&quot; &quot;aic AIC&quot; )   indicate(&quot;FE State = *AK&quot;) 


}
</code></pre>
<pre><code>(est1 stored)
(est2 stored)
(est3 stored)
(est4 stored)

Trump&#39;s Campaing Strategy \label {TableRallies}
--------------------------------------------------------------------
                       (1)          (2)          (3)          (4)   
                    Simple        Close         Hate          All   
--------------------------------------------------------------------
Workers Expose~n     0.192***     0.162**      0.168**      0.140** 
                   (0.071)      (0.065)      (0.065)      (0.061)   
Close Elections     -0.019***    -0.025***    -0.019***    -0.025***
                   (0.006)      (0.006)      (0.005)      (0.006)   
Hate Incidents~p    -0.051*      -0.049*       0.015        0.017   
                   (0.030)      (0.029)      (0.031)      (0.035)   
Exposed x Clos~s                  0.315***                  0.353***
                                (0.055)                   (0.080)   
Exposed x Hate~s                              -0.256       -0.252   
                                             (0.156)      (0.165)   
Hate Incidents~e                                           -0.043   
                                                          (0.034)   
FE State               Yes          Yes          Yes          Yes   
--------------------------------------------------------------------
Observations           381          381          381          381   
R$^2$                0.662        0.678        0.681        0.694   
AIC               -2.2e+03     -2.2e+03     -2.2e+03     -2.3e+03   
--------------------------------------------------------------------
Standard errors in parentheses
* p&lt;0.1, ** p&lt;0.05, *** p&lt;0.01</code></pre>
<pre class="stata"><code>esttab using &quot;Table\Trump_high_forec.tex&quot;, replace label se title(Trump&#39;s Campaing Strategy (Forecasting 2016) \label {TableRallies})  mti(&quot;Simple&quot; &quot;Close&quot; &quot;Hate&quot; &quot;All&quot;)  compress nogap star(* 0.1 ** 0.05 *** 0.01) b(%6.3f) keep(high* anti_pop forescasting2 interaction*)  indicate(&quot;FE State = *AK&quot; ) scalars( &quot;N Observations&quot; &quot;r2 R$^2$&quot; &quot;aic AIC&quot; )</code></pre>
<pre><code>(output written to Table\Trump_high_forec.tex)</code></pre>
</div>
<div id="table-a12-summary-statistics-of-variables-used-in-this-study-about-trumps-campaign-strategies-rallies" class="section level4">
<h4>Table A12: Summary statistics of variables used in this study about
Trump’s campaign strategies: rallies</h4>
<pre class="stata"><code>////////////////////////////////////
* Descriptives
///////////////////////////////////

lab var rallies &quot;\# Rallies per MSA&quot;
lab var visited &quot;Visit MSA (dummy)&quot;

lab var rallies_pop &quot;\# Rallies relative to population&quot;
lab var visits_pop &quot;Visit (dummy) relative to population&quot;

lab var close_election5 &quot;Close election 2012 (5\%)&quot;
lab var forescasting2 &quot;Close election - Forecasting 2016&quot;

lab var close_election &quot;Close election 2012 (10\%)&quot;
lab var anti &quot;\# Hate incident per MSA&quot;
lab var high_pop_pop &quot;Workers Exposed to Automation (relative to pop.)&quot;
lab var high &quot;Workers Exposed to Automation (relative to MSA)&quot;
lab var high_pop &quot;\# Workers Exposed to Automation per MSA&quot;
</code></pre>
<pre class="stata"><code>
// table A12: Summary statistics of variables used in this study about Trump&#39;s campaign strategies: rallies

eststo clear

qui estpost sum rallies rallies_pop visited visits_pop high_pop high high_pop_pop  anti anti_pop close_election5 forescasting2 close_election, d
esttab , ///
    cells(&quot;mean(label(Mean) fmt(2)) p50(label(Median) fmt(2)) sd(label(S.D.) fmt(2)) min(label(Min.) fmt(2)) max(label(Max) fmt(2)) count(label(Obs.) fmt(0))&quot;) ///
    nonumber label replace noobs
    
esttab using &quot;Table\US_rallies_descriptive.tex&quot;, ///
    cells(&quot;mean(label(Mean) fmt(2)) p50(label(Median) fmt(2)) sd(label(S.D.) fmt(2)) min(label(Min.) fmt(2)) max(label(Max) fmt(2)) count(label(Obs.) fmt(0))&quot;) ///
    nonumber label replace noobs
</code></pre>
<pre><code>                             Mean       Median         S.D.         Min.       
&gt;    Max         Obs.
-------------------------------------------------------------------------------
&gt; -------------------
\# Rallies per MSA           0.35         0.00         0.82         0.00       
&gt;   4.00          381
\# Rallies relativ~o         0.01         0.00         0.02         0.00       
&gt;   0.29          381
Visit MSA (dummy)            0.20         0.00         0.40         0.00       
&gt;   1.00          381
Visit (dummy) rela~a         0.00         0.00         0.01         0.00       
&gt;   0.07          381
\# Workers Exposed~n    182502.35     63114.92    386542.94     14190.64   4128
&gt; 796.25          381
Workers Exposed to~r         0.26         0.26         0.03         0.18       
&gt;   0.42          381
Workers Expos..)             0.02         0.01         0.04         0.00       
&gt;   0.30          381
\# Hate incident p~A         3.75         0.00        19.92         0.00       
&gt; 329.00          381
Hate Incidents Per~p         0.04         0.00         0.20         0.00       
&gt;   2.46          381
Close election 201~)         0.15         0.00         0.36         0.00       
&gt;   1.00          381
Close election -~201         0.11         0.00         0.31         0.00       
&gt;   1.00          381
Close election 201~)         0.42         0.00         0.49         0.00       
&gt;   1.00          381
-------------------------------------------------------------------------------
&gt; -------------------

(output written to Table\US_rallies_descriptive.tex)</code></pre>
<pre><code>{
\def\sym#1{\ifmmode^{#1}\else\(^{#1}\)\fi}
\begin{tabular}{l*{1}{cccccc}}
\hline\hline
                    &amp;\multicolumn{6}{c}{}                                                         \\
                    &amp;        Mean&amp;      Median&amp;        S.D.&amp;        Min.&amp;         Max&amp;        Obs.\\
\hline
\# Rallies per MSA  &amp;        0.35&amp;        0.00&amp;        0.82&amp;        0.00&amp;        4.00&amp;         381\\
\# Rallies relative to population&amp;        0.01&amp;        0.00&amp;        0.02&amp;        0.00&amp;        0.29&amp;         381\\
Visit MSA (dummy)   &amp;        0.20&amp;        0.00&amp;        0.40&amp;        0.00&amp;        1.00&amp;         381\\
Visit (dummy) relative to population&amp;        0.00&amp;        0.00&amp;        0.01&amp;        0.00&amp;        0.07&amp;         381\\
\# Workers Exposed to Automation per MSA&amp;   182502.35&amp;    63114.92&amp;   386542.94&amp;    14190.64&amp;  4128796.25&amp;         381\\
Workers Exposed to Automation (relative to MSA)&amp;        0.26&amp;        0.26&amp;        0.03&amp;        0.18&amp;        0.42&amp;         381\\
Workers Exposed to Automation (relative to pop.)&amp;        0.02&amp;        0.01&amp;        0.04&amp;        0.00&amp;        0.30&amp;         381\\
\# Hate incident per MSA&amp;        3.75&amp;        0.00&amp;       19.92&amp;        0.00&amp;      329.00&amp;         381\\
Hate Incidents Per 100K Pop&amp;        0.04&amp;        0.00&amp;        0.20&amp;        0.00&amp;        2.46&amp;         381\\
Close election 2012 (5\%)&amp;        0.15&amp;        0.00&amp;        0.36&amp;        0.00&amp;        1.00&amp;         381\\
Close election - Forecasting 2016&amp;        0.11&amp;        0.00&amp;        0.31&amp;        0.00&amp;        1.00&amp;         381\\
Close election 2012 (10\%)&amp;        0.42&amp;        0.00&amp;        0.49&amp;        0.00&amp;        1.00&amp;         381\\
\hline\hline
\end{tabular}
}</code></pre>
</div>
</div>
<div id="campaign-rhetoric-preparing-2_0_speech_us_dictionaries.ipynb" class="section level3">
<h3>Campaign Rhetoric Preparing [2_0_Speech_US_dictionaries.ipynb]</h3>
<p>This file:</p>
<ul>
<li>Creates dictionaries, and applies them to all Trump speeches in the
sample.</li>
<li>These are inputs for the regression analysis conducted in
<code>2_2_Speech_US.do</code></li>
</ul>
<p>Input:</p>
<ul>
<li><code>Data/Text/Rallies_MSA.xlsx</code> It is a xlsx file which
contains data on the MSA and an identifier to merge with other files for
the analysis.</li>
<li><code>Data/Text/Presidential...</code> All txt files. From <a href="https://www.presidency.ucsb.edu/" class="uri">https://www.presidency.ucsb.edu/</a></li>
<li><code>Data/Text/Youtube...</code> All txt files. Additional rallies
obtained from Youtube.</li>
</ul>
<p>Output:</p>
<ul>
<li><code>Data/combined_df.csv</code> It is a csv file with the scores
per each speech.</li>
</ul>
<p><strong>NOTE: the code for this file can be accessed in the jupyter
notebook in the folder <code>do</code>.</strong></p>
</div>
<div id="campaign-rhetoric-analysis-2_2_speech_us.do" class="section level3">
<h3>Campaign Rhetoric Analysis [2_2_Speech_US.do]</h3>
<p>This do-file:</p>
<ul>
<li>Creates Table 2 and A15 using data from Trump Speeches.</li>
</ul>
<p>Input:</p>
<ul>
<li><code>Data\Text\combined_df.csv</code> // This file contains the
data from speeches</li>
<li><code>Data\Rally_Visits_MSA.dta</code> // This file contains
information about the MSA (e.g, number of exposed workers)</li>
<li>Alternatively you can go to line 45 and use prepared data:
<ul>
<li><code>Data\Speech_MSA.dta</code></li>
</ul></li>
</ul>
<p>Output:</p>
<ul>
<li>Table 2: Trump’s Campaign Strategy: Speeches
[<code>Table\Trump_text_IVchanged.tex</code>]</li>
<li>Table A15: Trump’s Campaing Strategy: Speeches (Total count)
[<code>Table\Trump_text_IVchanged_count.tex</code>]</li>
</ul>
<pre class="stata"><code>*##########################################
* Alternatively load prepared data
*##########################################

use &quot;Data\Speech_MSA.dta&quot;, clear 
    </code></pre>
<pre class="stata"><code>
*******************************************************************************
* Preparing variables
*******************************************************************************
{
encode state, generate(state_num2)  // Encode &#39;state&#39; as numeric
encode msa_state, generate(msa_num)  // Encode &#39;msa_state&#39; as numeric

// Calculate word shares
gen pro_w = pro_worker_count / word_count  // Pro-worker word share
gen pro_c = culture_count / word_count  // Pro-culture word share

// Create interaction terms
gen int_exp_close = high_pop_pop * veryclose10  // Interaction: exposure x closeness
gen int_exp_anti = high_pop_pop * anti_pop  // Interaction: exposure x hate incidents

// Label variables
lab var veryclose10 &quot;Close&quot;  
lab var int_exp_close &quot;Exposed x Close&quot;
lab var int_exp_anti &quot;Exposed x Hate&quot;
lab var high_pop_pop &quot;Workers Exp. to Auto.&quot;
lab var anti_pop &quot;Hate Inc.x 100K Pop&quot;
}</code></pre>
<div id="table-2-trumps-campaign-strategy-speeches" class="section level4">
<h4>Table 2: Trump’s Campaign Strategy: Speeches</h4>
<pre class="stata"><code>*****************************************
* Regression
*****************************************
  

//table 2: Trump&#39;s Campaign Strategy: Speeches
{
preserve  // Preserve the current dataset

keep if msa_num ~= .  // Keep observations with non-missing &#39;msa_num&#39; (0 observations deleted)

eststo clear  // Clear any previously stored estimates

// DV: Share of pro-worker rhetoric
eststo: qui reg pro_w high_pop_pop veryclose10 i.month foreign anti_pop  i.state_num2, cluster(state_num2)
eststo: qui reg pro_w high_pop_pop veryclose10 int_exp_close  i.month foreign anti_pop  i.state_num2, cluster(state_num2)
eststo: qui reg pro_w high_pop_pop veryclose10 int_exp_close int_exp_anti i.month foreign anti_pop  i.state_num2,cluster(state_num2)

// DV: Share of pro-culture rhetoric
eststo: qui reg pro_c high_pop_pop veryclose10 i.month foreign anti_pop i.state_num2 ,cluster(state_num2)
eststo: qui reg pro_c high_pop_pop veryclose10 int_exp_close i.month foreign anti_pop  i.state_num2, cluster(state_num2)
eststo: qui reg pro_c high_pop_pop veryclose10 int_exp_close int_exp_anti i.month foreign anti_pop  i.state_num2,cluster(state_num2)

// Create regression table

    

restore  // Restore the original dataset

/////
}

  </code></pre>
<pre><code>(0 observations deleted)
(est1 stored)
(est2 stored)
(est3 stored)
(est4 stored)
(est5 stored)
(est6 stored)</code></pre>
<pre class="stata"><code>// Save regression table to a .tex file
// Create regression table
esttab , replace label se ///
    title(&quot;Trump&#39;s Campaign Strategy \label {TableSpeech2}&quot;) ///
    compress nogap ///
    star(* 0.1 ** 0.05 *** 0.01) ///
    b(%6.3f) ///
    keep(high_pop* anti* *close* int*) ///
    scalars(&quot;N Observations&quot; &quot;r2 R$^2$&quot; &quot;aic AIC&quot;) ///
    indicate(&quot;FE State = *state*&quot; &quot;Foreign = foreign*&quot; &quot;FE Month = *month&quot;) ///
    nomtitle collabels(none) mgroups(&quot;Pro-worker Rhetoric (1-3)&quot; &quot;Cultural Rhetoric (4-6)&quot;, pattern(1 0 0 1 0 0)  ///
    prefix(\multicolumn{@span}{c}{) suffix(}) span)
    
// Create regression table
esttab using &quot;Table\Trump_text_IVchanged.tex&quot;, replace label se ///
    title(&quot;Trump&#39;s Campaign Strategy \label {TableSpeech2}&quot;) ///
    compress nogap ///
    star(* 0.1 ** 0.05 *** 0.01) ///
    b(%6.3f) ///
    keep(high_pop* anti* *close* int*) ///
    scalars(&quot;N Observations&quot; &quot;r2 R$^2$&quot; &quot;aic AIC&quot;) ///
    indicate(&quot;FE State = *state*&quot; &quot;Foreign = foreign*&quot; &quot;FE Month = *month&quot;) ///
    nomtitle collabels(none) mgroups(&quot;Pro-worker Rhetoric (1-3)&quot; &quot;Cultural Rhetoric (4-6)&quot;, pattern(1 0 0 1 0 0)  ///
    prefix(\multicolumn{@span}{c}{) suffix(}) span)</code></pre>
<pre><code>Trump&#39;s Campaign Strategy \label {TableSpeech2}
-------------------------------------------------------------------------------
&gt; ---------------
                 \multicolumn{3}{c}{Pro-worker Rhetoric (1-3)} \multicolumn{3}{
&gt; c}{Cultural Rhetoric (4-6)}
                       (1)          (2)          (3)          (4)          (5) 
&gt;          (6)   
-------------------------------------------------------------------------------
&gt; ---------------
Workers E.. to~.     0.444***    -2.874***    -2.693***     0.024**      0.043 
&gt;        0.044   
                   (0.150)      (0.557)      (0.512)      (0.011)      (0.080) 
&gt;      (0.082)   
Close               -0.041***    -0.447***    -0.410***     0.007***     0.009 
&gt;        0.009   
                   (0.012)      (0.069)      (0.059)      (0.001)      (0.010) 
&gt;      (0.010)   
Hate Inc.x 100~p    -0.047**     -0.051**      0.157**     -0.004**     -0.004*
&gt; *     -0.002   
                   (0.021)      (0.019)      (0.057)      (0.001)      (0.001) 
&gt;      (0.004)   
Exposed x Close                   3.361***     3.060***                 -0.019 
&gt;       -0.021   
                                (0.515)      (0.446)                   (0.081) 
&gt;      (0.084)   
Exposed x Hate                                -0.778***                        
&gt;       -0.007   
                                             (0.210)                           
&gt;      (0.012)   
FE State               Yes          Yes          Yes          Yes          Yes 
&gt;          Yes   
Foreign                Yes          Yes          Yes          Yes          Yes 
&gt;          Yes   
FE Month               Yes          Yes          Yes          Yes          Yes 
&gt;          Yes   
-------------------------------------------------------------------------------
&gt; ---------------
Observations            98           98           98           98           98 
&gt;           98   
R$^2$                0.503        0.537        0.571        0.336        0.336 
&gt;        0.337   
AIC               -320.397     -327.377     -332.854     -828.802     -828.840 
&gt;     -826.928   
-------------------------------------------------------------------------------
&gt; ---------------
Standard errors in parentheses
* p&lt;0.1, ** p&lt;0.05, *** p&lt;0.01

(output written to Table\Trump_text_IVchanged.tex)</code></pre>
</div>
<div id="table-a15-trumps-campaing-strategy-speeches-total-count" class="section level4">
<h4>Table A15: Trump’s Campaing Strategy: Speeches (Total count)</h4>
<pre class="stata"><code>// table A15: Trump&#39;s Campaing Strategy: Speeches (Total count)
{
preserve  // Preserve the current dataset

keep if msa_num ~= .  // Keep observations with non-missing &#39;msa_num&#39; (0 observations deleted)

eststo clear  // Clear any previously stored estimates

********* Now number of words counts instead of share of words **************
eststo clear
eststo: qui reg pro_worker_count high_pop_pop  i.month foreign anti_pop i.state_num2 ,cluster(state_num2)
eststo: qui reg pro_worker_count high_pop_pop veryclose10 foreign i.month  anti_pop  i.state_num2, cluster(state_num2)
eststo: qui reg pro_worker_count high_pop_pop veryclose10 foreign int_exp_close  i.month  anti_pop  i.state_num2, cluster(state_num2)
eststo: qui reg pro_worker_count high_pop_pop veryclose10 foreign int_exp_close int_exp_anti i.month  anti_pop  i.state_num2,cluster(state_num2)

eststo: qui reg culture_count high_pop_pop  i.month foreign anti_pop  i.state_num2 ,cluster(state_num2)
eststo: qui reg culture_count high_pop_pop veryclose10 foreign i.month  anti_pop i.state_num2 ,cluster(state_num2)
eststo: qui reg culture_count high_pop_pop veryclose10 int_exp_close foreign i.month  anti_pop  i.state_num2, cluster(state_num2)
eststo: qui reg culture_count high_pop_pop veryclose10 int_exp_close foreign int_exp_anti i.month  anti_pop  i.state_num2,cluster(state_num2)




restore

/////
}

  </code></pre>
<pre><code>(0 observations deleted)
(est1 stored)
(est2 stored)
(est3 stored)
(est4 stored)
(est5 stored)
(est6 stored)
(est7 stored)
(est8 stored)</code></pre>
<pre class="stata"><code>// Save regression table to a .tex file
esttab , replace label se title(Trump&#39;s Campaing Strategy: Speeches (Total count) \label {TableTotal})  nomtitle collabels(none) mgroups(&quot;Pro-worker Rhetoric (1-3)&quot; &quot;Cultural Rhetoric (4-6)&quot;, pattern(1 0 0 0 1 0 0 0)  ///
    prefix(\multicolumn{@span}{c}{) suffix(}) span) compress nogap star(* 0.1 ** 0.05 *** 0.01) b(%6.2f) keep(high_pop* anti* *close* int*)  scalars( &quot;N Observations&quot; &quot;r2 R$^2$&quot; &quot;aic AIC&quot; ) indicate(&quot;FE State = *state*&quot; &quot;Foreign = foreign*&quot; &quot;Fe Month =*month&quot;) 

esttab using &quot;Table\Trump_text_IVchanged_count.tex&quot;, replace label se title(Trump&#39;s Campaing Strategy: Speeches (Total count) \label {TableTotal})  nomtitle collabels(none) mgroups(&quot;Pro-worker Rhetoric (1-4)&quot; &quot;Cultural Rhetoric (5-8)&quot;, pattern(1 0 0 0 1 0 0 0)  ///
    prefix(\multicolumn{@span}{c}{) suffix(}) span)  compress nogap star(* 0.1 ** 0.05 *** 0.01) b(%6.2f) keep(high_pop* anti* *close* int*)  scalars( &quot;N Observations&quot; &quot;r2 R$^2$&quot; &quot;aic AIC&quot; ) indicate(&quot;FE State = *state*&quot; &quot;Foreign = foreign*&quot; &quot;FE Month =*month&quot;) 
</code></pre>
<pre><code>Trump&#39;s Campaing Strategy: Speeches (Total count) \label {TableTotal}
-------------------------------------------------------------------------------
&gt; -----------------------------------------
                 \multicolumn{4}{c}{Pro-worker Rhetoric (1-3)}       \multicolu
&gt; mn{4}{c}{Cultural Rhetoric (4-6)}        
                       (1)          (2)          (3)          (4)          (5) 
&gt;          (6)          (7)          (8)   
-------------------------------------------------------------------------------
&gt; -----------------------------------------
Workers E.. to~.    636.18       636.18     -4017.86***  -3658.56***    -12.97 
&gt;       -12.97       399.21       377.56   
                  (450.61)     (450.61)    (1375.41)    (1246.38)      (40.57) 
&gt;      (40.57)     (234.13)     (231.52)   
Hate Inc.x 100~p   -119.44*     -119.44*     -124.44*      287.08        -3.23 
&gt;        -3.23        -2.79       -27.59   
                   (67.36)      (67.36)      (62.78)     (277.98)       (5.17) 
&gt;       (5.17)       (4.61)      (16.76)   
Close                            198.14***   -371.74**    -297.68*             
&gt;        63.79***    114.26***    109.80***
                                (28.05)     (168.17)     (144.97)              
&gt;       (4.69)      (29.17)      (29.43)   
Exposed x Close                              4714.86***   4116.91***           
&gt;                   -417.56*     -381.54*  
                                           (1243.99)    (1063.07)              
&gt;                  (217.72)     (220.61)   
Exposed x Hate                                           -1542.64              
&gt;                                  92.95*  
                                                         (985.93)              
&gt;                                (51.69)   
FE State               Yes          Yes          Yes          Yes          Yes 
&gt;          Yes          Yes          Yes   
Foreign                Yes          Yes          Yes          Yes          Yes 
&gt;          Yes          Yes          Yes   
Fe Month               Yes          Yes          Yes          Yes          Yes 
&gt;          Yes          Yes          Yes   
-------------------------------------------------------------------------------
&gt; -----------------------------------------
Observations            98           98           98           98           98 
&gt;           98           98           98   
R$^2$                 0.38         0.38         0.40         0.42         0.50 
&gt;         0.50         0.51         0.51   
AIC                1222.34      1222.34      1220.39      1218.40       785.24 
&gt;       785.24       783.93       784.70   
-------------------------------------------------------------------------------
&gt; -----------------------------------------
Standard errors in parentheses
* p&lt;0.1, ** p&lt;0.05, *** p&lt;0.01

(output written to Table\Trump_text_IVchanged_count.tex)</code></pre>
</div>
</div>
</div>
<div id="pritm-systems-time-series-cross-sectional-evidence-on-messaging" class="section level2">
<h2>PRITM Systems: Time-Series-Cross-Sectional Evidence on
Messaging</h2>
<div id="cmp-main-analysis-3_2_cmp_pritm.do" class="section level3">
<h3>CMP main analysis [3_2_CMP_PRITM.do]</h3>
<p>This do-file:</p>
<pre><code>A. Call the Data
B. Define variables
C. Export Tables </code></pre>
<p>Input: <strong>Manifesto Project database</strong></p>
<pre><code>- Data\CMP\MPDataset_MPDS2020a_stata14.dta // Data download from https://manifesto-project.wzb.eu/datasets </code></pre>
<p>Final output:</p>
<ul>
<li><p>Cleaned data:</p>
<ul>
<li><code>Data\CMP_main.dta</code> this data contains the relevant
variables for the analysis with the DV as the polarization over
redistribution, and fixed-value positions, estimated as the distance
between establishment left and outsider parties.</li>
</ul></li>
<li><p>Tables:</p>
<ul>
<li>table 3: PRITM: Partisan Polarization over Redistribution and Fixed
Attributes [<code>Table\TabWithin.tex</code>]</li>
<li>table A19: Partisan Polarization over Redistribution and Fixed
Attributes Different Cut-Of
[<code>Table\TabWithin_cutoff.tex</code>]</li>
<li>table A20: Alternative measures of Partisan Polarization over Fixed
Attributes between Mainstream Left and Right-Populist
[<code>Table\TabWithin_FValternative.tex</code>]</li>
<li>table A18: Descriptive statistic: PRITM 1970-2019
[<code>Table\desc_PRITM.tex</code>]</li>
</ul></li>
</ul>
<pre class="stata"><code>*##########################################
* Alternatively load prepared data
*##########################################

use &quot;Data\CMP_main.dta&quot;, clear  
    </code></pre>
<pre><code>(Manifesto Project Dataset Version 2020a. Please type &quot;notes&quot; for more details)</code></pre>
<div id="table-3-pritm-partisan-polarization-over-redistribution-and-fixed-attributes" class="section level4">
<h4>Table 3: PRITM: Partisan Polarization over Redistribution and Fixed
Attributes</h4>
<pre class="stata"><code>// table 3: PRITM: Partisan Polarization over Redistribution and Fixed Attributes
{
preserve

eststo clear
eststo: qui reg distance_redist L.distance_redist shock totseats   oecdmember   i.year, cluster(countryname)
eststo: qui reg distance_fixed L.distance_fixed shock totseats  oecdmember   i.year, cluster(countryname)
eststo: qui reg distance_redist L.distance_redist IFR2 totseats  oecdmember   i.year, cluster(countryname)
eststo: qui reg distance_fixed L.distance_fixed IFR2 totseats  oecdmember   i.year, cluster(countryname)



esttab , replace label se title(Polarization over Redistribution and Fixed Attributes  \label {TableCMPAll}) mti(&quot;Redistribution&quot; &quot;Fixed Values&quot; &quot;Redistribution&quot; &quot;Fixed Values&quot;) compress nogap star(* 0.1 ** 0.05 *** 0.01) b(%6.3f) keep(shock IFR2) scalars(N r2 aic) indicate(&quot;LDV = L.*&quot; &quot;FE Year = *year&quot;)


restore

}</code></pre>
<pre><code>(est1 stored)
(est2 stored)
(est3 stored)
(est4 stored)

Polarization over Redistribution and Fixed Attributes \label {TableCMPAll}
--------------------------------------------------------------------
                       (1)          (2)          (3)          (4)   
                 Redistr~n    Fixed V~s    Redistr~n    Fixed V~s   
--------------------------------------------------------------------
High LMP period      2.919        2.708***                          
                   (2.304)      (0.866)                             
Robots Stock                                   0.074        0.561** 
                                             (0.215)      (0.219)   
LDV                    Yes          Yes          Yes          Yes   
FE Year                Yes          Yes          Yes          Yes   
--------------------------------------------------------------------
Observations           186          186           62           62   
r2                   0.519        0.333        0.492        0.372   
aic                783.599      768.187      291.086      285.773   
--------------------------------------------------------------------
Standard errors in parentheses
* p&lt;0.1, ** p&lt;0.05, *** p&lt;0.01</code></pre>
<pre class="stata"><code>esttab using &quot;Table\TabWithin.tex&quot;, replace label se title(Polarization over Redistribution and Fixed Attributes  \label {TableCMPAll}) mti(&quot;Redistribution&quot; &quot;Fixed Values&quot; &quot;Redistribution&quot; &quot;Fixed Values&quot;) compress nogap star(* 0.1 ** 0.05 *** 0.01) b(%6.3f) keep(shock IFR2) scalars(N r2 aic) indicate(&quot;LDV = L.*&quot; &quot;FE Year = *year&quot;)
</code></pre>
<pre><code>(output written to Table\TabWithin.tex)</code></pre>
</div>
<div id="table-a19-partisan-polarization-over-redistribution-and-fixed-attributes-different-cut-off" class="section level4">
<h4>Table A19: Partisan Polarization over Redistribution and Fixed
Attributes Different Cut-Off</h4>
<pre class="stata"><code>// table A19: Partisan Polarization over Redistribution and Fixed Attributes Different Cut-Of
{
gen shock92=.
replace shock92 =0 if year &gt; 1969 &amp; year &lt; 1993
replace shock92 =1 if  year &gt; 1992

gen shock93=.
replace shock93 =0 if year &gt; 1969 &amp; year &lt; 1994
replace shock93 =1 if  year &gt; 1993

gen shock96=.
replace shock96 =0 if year &gt; 1969 &amp; year &lt; 1996
replace shock96 =1 if  year &gt; 1997

gen shock97=.
replace shock97 =0 if year &gt; 1969 &amp; year &lt; 1997
replace shock97 =1 if  year &gt; 1998

gen shock98=.
replace shock98 =0 if year &gt; 1969 &amp; year &lt; 1998
replace shock98 =1 if  year &gt; 1999


lab var shock98 &quot;Post-LMP&quot;
lab var shock92 &quot;Post-LMP&quot;
lab var shock93 &quot;Post-LMP&quot;
lab var shock96 &quot;Post-LMP&quot;
lab var shock97 &quot;Post-LMP&quot;


preserve
  
eststo clear
eststo: qui reg distance_redist L.distance_redist shock92 totseats  oecdmember   i.year, cluster(countryname)
eststo: qui reg distance_fixed L.distance_fixed shock92 totseats  oecdmember   i.year, cluster(countryname)

eststo: qui reg distance_redist L.distance_redist shock93 totseats  oecdmember   i.year, cluster(countryname)
eststo: qui reg distance_fixed L.distance_fixed shock93 totseats  oecdmember   i.year, cluster(countryname)


eststo: qui reg distance_redist L.distance_redist shock96 totseats  oecdmember   i.year, cluster(countryname)
eststo: qui reg distance_fixed L.distance_fixed shock96 totseats  oecdmember   i.year, cluster(countryname)


eststo: qui reg distance_redist L.distance_redist shock97 totseats  oecdmember   i.year, cluster(countryname)
eststo: qui reg distance_fixed L.distance_fixed shock97 totseats  oecdmember   i.year, cluster(countryname)


eststo: qui reg distance_redist L.distance_redist shock98 totseats  oecdmember   i.year, cluster(countryname)
eststo: qui reg distance_fixed L.distance_fixed shock98 totseats  oecdmember   i.year, cluster(countryname)

esttab , replace label se title(Partisan Polarization over Redistribution and Fixed Attributes Different Cut-Off \label {Tablewithincut}) mti(&quot;Redist&quot; &quot;Fixed&quot; &quot;Redist&quot; &quot;Fixed&quot; &quot;Redist&quot; &quot;Fixed&quot; &quot;Redist&quot; &quot;Fixed&quot; &quot;Redist&quot; &quot;Fixed&quot; ) compress nogap star(* 0.1 ** 0.05 *** 0.01) b(%6.3f) keep(shock*     ) scalars( &quot;N Observations&quot; &quot;r2 R$^2$&quot; &quot;aic AIC&quot; )  indicate(&quot;LDV = L.*&quot; &quot;FE Year = *year&quot;)


restore 
}</code></pre>
<pre><code>(202 missing values generated)
(91 real changes made)
(111 real changes made)
(202 missing values generated)
(92 real changes made)
(110 real changes made)
(202 missing values generated)
(106 real changes made)
(92 real changes made)
(202 missing values generated)
(108 real changes made)
(86 real changes made)
(202 missing values generated)
(110 real changes made)
(80 real changes made)
(est1 stored)
(est2 stored)
(est3 stored)
(est4 stored)
(est5 stored)
(est6 stored)
(est7 stored)
(est8 stored)
(est9 stored)
(est10 stored)

Partisan Polarization over Redistribution and Fixed Attributes Different Cut-Of
&gt; f \label {Tablewithincut}
-------------------------------------------------------------------------------
&gt; -------------------------------------------------------------------
                       (1)          (2)          (3)          (4)          (5) 
&gt;          (6)          (7)          (8)          (9)         (10)   
                    Redist        Fixed       Redist        Fixed       Redist 
&gt;        Fixed       Redist        Fixed       Redist        Fixed   
-------------------------------------------------------------------------------
&gt; -------------------------------------------------------------------
Post-LMP             2.919        2.708***                                     
&gt;                                                                    
                   (2.304)      (0.866)                                        
&gt;                                                                    
Post-LMP                                       2.919        2.708***           
&gt;                                                                    
                                             (2.304)      (0.866)              
&gt;                                                                    
Post-LMP                                                                 2.921 
&gt;        2.679***                                                    
                                                                       (2.297) 
&gt;      (0.855)                                                       
Post-LMP                                                                       
&gt;                     2.791        2.696***                          
                                                                               
&gt;                   (2.269)      (0.864)                             
Post-LMP                                                                       
&gt;                                               2.642        2.671***
                                                                               
&gt;                                             (2.240)      (0.838)   
LDV                    Yes          Yes          Yes          Yes          Yes 
&gt;          Yes          Yes          Yes          Yes          Yes   
FE Year                Yes          Yes          Yes          Yes          Yes 
&gt;          Yes          Yes          Yes          Yes          Yes   
-------------------------------------------------------------------------------
&gt; -------------------------------------------------------------------
Observations           186          186          186          186          182 
&gt;          182          178          178          174          174   
R$^2$                0.519        0.333        0.519        0.333        0.516 
&gt;        0.344        0.531        0.352        0.542        0.360   
AIC                783.599      768.187      783.599      768.187      771.187 
&gt;      752.039      751.737      733.099      733.090      709.586   
-------------------------------------------------------------------------------
&gt; -------------------------------------------------------------------
Standard errors in parentheses
* p&lt;0.1, ** p&lt;0.05, *** p&lt;0.01</code></pre>
<pre class="stata"><code>esttab using &quot;Table\TabWithin_cutoff.tex&quot;, replace label se title(Partisan Polarization over Redistribution and Fixed Attributes Different Cut-Off \label {Tablewithincut}) mti(&quot;Redist&quot; &quot;Fixed&quot; &quot;Redist&quot; &quot;Fixed&quot; &quot;Redist&quot; &quot;Fixed&quot; &quot;Redist&quot; &quot;Fixed&quot; &quot;Redist&quot; &quot;Fixed&quot; ) compress nogap star(* 0.1 ** 0.05 *** 0.01) b(%6.3f) keep(shock*     ) scalars( &quot;N Observations&quot; &quot;r2 R$^2$&quot; &quot;aic AIC&quot; )  indicate(&quot;LDV = L.*&quot; &quot;FE Year = *year&quot;)
</code></pre>
<pre><code>(output written to Table\TabWithin_cutoff.tex)</code></pre>
</div>
<div id="table-a20-alternative-measures-of-partisan-polarization-over-fixed-attributes-between-mainstream-left-and-right-populist" class="section level4">
<h4>Table A20: Alternative measures of Partisan Polarization over Fixed
Attributes between Mainstream Left and Right-Populist</h4>
<pre class="stata"><code>
lab var distance_fixed_eu &quot;Anti-EU&quot;
lab var distance_nat &quot;Internationalism&quot;
lab var distance_fixed_all &quot;Anti-Global and Cultural&quot;
lab var distance_fixed_nolog &quot;Anti-Global and Cultural (no log)&quot;


// table A20: Alternative measures of Partisan Polarization over Fixed Attributes between Mainstream Left and Right-Populist
{
preserve

eststo clear

foreach x of varlist distance_fixed_eu  distance_nat  distance_fixed_all distance_fixed_nolog {
eststo: qui reg `x&#39; L.`x&#39; shock totseats  oecdmember   i.year, cluster(countryname)
eststo: qui reg `x&#39; L.`x&#39; IFR2 totseats  oecdmember   i.year, cluster(countryname)

}
esttab, replace label se title(Alternative measures of Partisan Polarization over Fixed Attributes between Mainstream Left and Right-Populist \label {FVPritm})  compress nogap star(* 0.1 ** 0.05 *** 0.01) b(%6.3f) keep(shock IFR2 ) scalars( &quot;N Observations&quot; &quot;r2 R$^2$&quot; &quot;aic AIC&quot; ) indicate(&quot;Controls = tot*&quot; &quot;LDV = L.*&quot; &quot;FE Year = *year&quot;) 


restore

}</code></pre>
<pre><code>  2. eststo: qui reg `x&#39; L.`x&#39; shock totseats  oecdmember   i.year, cluster(cou
&gt; ntryname)
  3. eststo: qui reg `x&#39; L.`x&#39; IFR2 totseats  oecdmember   i.year, cluster(coun
&gt; tryname)
  4. 
(est1 stored)
(est2 stored)
(est3 stored)
(est4 stored)
(est5 stored)
(est6 stored)
(est7 stored)
(est8 stored)

Alternative measures of Partisan Polarization over Fixed Attributes between Mai
&gt; nstream Left and Right-Populist \label {FVPritm}
-------------------------------------------------------------------------------
&gt; -----------------------------------------
                       (1)          (2)          (3)          (4)          (5) 
&gt;          (6)          (7)          (8)   
                   Anti-EU      Anti-EU    Interna~m    Interna~m    Anti-Gl~l 
&gt;    Anti-Gl~l    Anti-Gl~g    Anti-Gl~g   
-------------------------------------------------------------------------------
&gt; -----------------------------------------
High LMP period      2.581***                  1.491***                  3.603*
&gt; **                 21.639***             
                   (0.362)                   (0.450)                   (0.571) 
&gt;                   (5.703)                
Robots Stock                      0.306**                   0.411**            
&gt;        0.589***                  5.678***
                                (0.125)                   (0.167)              
&gt;      (0.177)                   (1.714)   
Controls               Yes          Yes          Yes          Yes          Yes 
&gt;          Yes          Yes          Yes   
LDV                    Yes          Yes          Yes          Yes          Yes 
&gt;          Yes          Yes          Yes   
FE Year                Yes          Yes          Yes          Yes          Yes 
&gt;          Yes          Yes          Yes   
-------------------------------------------------------------------------------
&gt; -----------------------------------------
Observations           186           62          186           62          186 
&gt;           62          186           62   
R$^2$                0.532        0.472        0.373        0.363        0.408 
&gt;        0.467        0.614        0.552   
AIC                666.836      249.215      699.495      258.617      787.820 
&gt;      278.176     1509.478      534.144   
-------------------------------------------------------------------------------
&gt; -----------------------------------------
Standard errors in parentheses
* p&lt;0.1, ** p&lt;0.05, *** p&lt;0.01</code></pre>
<pre class="stata"><code>esttab using &quot;Table\TabWithin_FValternative.tex&quot;, replace label se title(Alternative measures of Partisan Polarization over Fixed Attributes between Mainstream Left and Right-Populist \label {FVPritm})  compress nogap star(* 0.1 ** 0.05 *** 0.01) b(%6.3f) keep(shock IFR2 ) scalars( &quot;N Observations&quot; &quot;r2 R$^2$&quot; &quot;aic AIC&quot; ) indicate(&quot;Controls = tot*&quot; &quot;LDV = L.*&quot; &quot;FE Year = *year&quot;) 
</code></pre>
<pre><code>(output written to Table\TabWithin_FValternative.tex)</code></pre>
</div>
<div id="table-a18-descriptive-statistic-pritm-1970-2019" class="section level4">
<h4>Table A18: Descriptive statistic: PRITM 1970-2019</h4>
<pre class="stata"><code>*##########################################
* Descriptive 
*##########################################

lab var distance_fixed_eu &quot;DFVP - Net Anti-EU&quot;
lab var distance_nat &quot;DFVP - Net Anti-Global Narrow (Internationalism)&quot;
lab var distance_fixed_all &quot;DFVP - Anti-Global and Cultural&quot;
lab var distance_fixed_nolog &quot;DFVP - Anti-Global and Cultural (no log)&quot;


// table A18: Descriptive statistic: PRITM 1970-2019
{
lab var IFR &quot;\# Robot Stock (IFR)&quot;
lab var IFR2 &quot;Ln \# Robot Stock (IFR)&quot;
lab var distance_fixed_nolog &quot;DFVP - Anti-Global and Cultural (no log)&quot;
preserve

    eststo clear

qui estpost sum  totseats number2 oecdmember distance_redist  distance_fixed  distance_fixed_eu   distance_fixed_all distance_nat  distance_fixed_all distance_fixed_nolog IFR IFR2, d 



    
    restore
    }
</code></pre>
<pre class="stata"><code>
esttab ,cells(&quot;mean(label(Mean) fmt(2)) p50(label(Median) fmt(2)) sd(label(S.D.) fmt(2)) min(label(Min.) fmt(0)) max(label(Max) fmt(0)) count(label(Obs.) fmt(0))&quot;) ///
    nonumber label replace noobs  title(Descriptive statistic: PRITM 1970-2019 \label {SummarystatPRITM}) 

esttab using &quot;Table\desc_PRITM.tex&quot;,cells(&quot;mean(label(Mean) fmt(2)) p50(label(Median) fmt(2)) sd(label(S.D.) fmt(2)) min(label(Min.) fmt(0)) max(label(Max) fmt(0)) count(label(Obs.) fmt(0))&quot;) ///
    nonumber label replace noobs  title(Descriptive statistic: PRITM 1970-2019 \label {SummarystatPRITM}) </code></pre>
<pre><code>Descriptive statistic: PRITM 1970-2019 \label {SummarystatPRITM}
-------------------------------------------------------------------------------
&gt; -------------------
                                                                               
&gt;                    
                             Mean       Median         S.D.         Min.       
&gt;    Max         Obs.
-------------------------------------------------------------------------------
&gt; -------------------
Total Number of Se~s       235.44       175.00       162.72           60       
&gt;    709          202
Total Number of Pa~s         7.72         8.00         2.62            3       
&gt;     19          202
OECD member                  9.16        10.00         2.78            0       
&gt;     10          202
Distance Redistrib~N         4.46         4.02         2.65            0       
&gt;     17          202
Distance Fixed-Val~(         3.07         2.84         2.12            0       
&gt;     12          202
DFVP - Net Anti-EU           2.19         1.82         1.93            0       
&gt;      9          202
DFVP - Anti-Global~l         3.18         2.62         2.37            0       
&gt;     13          202
DFVP - Net Anti-Gl~I         2.63         2.50         1.83            0       
&gt;      9          202
DFVP - Anti-Global~l         3.18         2.62         2.37            0       
&gt;     13          202
DFVP - Anti-Global~         18.59        12.11        20.42            0       
&gt;    110          202
\# Robot Stock (IFR)     17829.68      4399.50     41004.76            6       
&gt; 200497           62
Ln \# Robot Stock ~)         7.90         8.39         2.34            2       
&gt;     12           62
-------------------------------------------------------------------------------
&gt; -------------------

(output written to Table\desc_PRITM.tex)</code></pre>
</div>
</div>
<div id="cmp-appendix---average-distance-3_3_cmp_pritm_appendix_average.do" class="section level3">
<h3>CMP Appendix - average distance
[3_3_CMP_PRITM_Appendix_Average.do]</h3>
<p>This do-file:</p>
<pre><code>A. Call the Data
B. Define variables
C. Export Tables </code></pre>
<p>Input: <strong>Manifesto Project database</strong></p>
<pre><code>- `Data\CMP\MPDataset_MPDS2020a_stata14.dta` // Data download from https://manifesto-project.wzb.eu/datasets 2021</code></pre>
<p>Final output:</p>
<ul>
<li>Cleaned data: * <code>Data\CMP_average.dta</code> this data contains
the relevant variables for the analysis with the DV as the polarization
over redistribution, and fixed-value positions, estimated as the average
distance of the party system.</li>
<li>Tables: * table A21: Partisan Polarization over Redistribution and
Fixed Attributes</li>
</ul>
<pre class="stata"><code>*##########################################
* Alternatively load prepared data
*##########################################

use &quot;Data\CMP_average.dta&quot;, clear   
    </code></pre>
<pre><code>(Manifesto Project Dataset Version 2020a. Please type &quot;notes&quot; for more details)</code></pre>
<div id="table-a21-partisan-polarization-over-redistribution-and-fixed-attributes" class="section level4">
<h4>Table A21: Partisan Polarization over Redistribution and Fixed
Attributes</h4>
<pre class="stata"><code>*##########################################
* Analysis
*##########################################
// table A21: Partisan Polarization over Redistribution and Fixed Attributes
{

preserve
 
eststo clear
eststo: qui reg dist_av_welfare_policy L.dist_av_welfare_policy shock totseats  oecdmember  number2 i.year, cluster(countryname)
eststo: qui reg dist_av_fixed L.dist_av_fixed shock totseats  oecdmember  number2 i.year, cluster(countryname)

esttab , replace label se title(Partisan Polarization over Redistribution and Fixed Attributes  \label {TabWithinpoldistav}) mti(&quot;Redistribution&quot; &quot;Fixed Values&quot; &quot;Redistribution&quot; &quot;Fixed Values&quot; ) compress nogap star(* 0.1 ** 0.05 *** 0.01) b(%6.3f) keep(shock  ) scalars( &quot;N Observations&quot; &quot;r2 R$^2$&quot; &quot;aic AIC&quot; ) indicate(&quot;Controls = tots*&quot; &quot;LDV = L.*&quot; &quot;FE Year = *year&quot;) 




restore

}
</code></pre>
<pre><code>(est1 stored)
(est2 stored)

Partisan Polarization over Redistribution and Fixed Attributes \label {TabWithi
&gt; npoldistav}
------------------------------------------
                       (1)          (2)   
                 Redistr~n    Fixed V~s   
------------------------------------------
High LMP period     -1.505        3.399***
                   (1.933)      (1.011)   
Controls               Yes          Yes   
LDV                    Yes          Yes   
FE Year                Yes          Yes   
------------------------------------------
Observations           186          186   
R$^2$                0.631        0.705   
AIC                899.206      889.795   
------------------------------------------
Standard errors in parentheses
* p&lt;0.1, ** p&lt;0.05, *** p&lt;0.01</code></pre>
<pre class="stata"><code>esttab using &quot;Table\Tab_Within_d_av.tex&quot;, replace label se title(Partisan Polarization over Redistribution and Fixed Attributes  \label {TabWithinpoldistav}) mti(&quot;Redistribution&quot; &quot;Fixed Values&quot; &quot;Redistribution&quot; &quot;Fixed Values&quot; ) compress nogap star(* 0.1 ** 0.05 *** 0.01) b(%6.3f) keep(shock  ) scalars( &quot;N Observations&quot; &quot;r2 R$^2$&quot; &quot;aic AIC&quot; ) indicate(&quot;Controls = tots*&quot; &quot;LDV = L.*&quot; &quot;FE Year = *year&quot;) 
</code></pre>
<pre><code>(output written to Table\Tab_Within_d_av.tex)</code></pre>
</div>
</div>
<div id="cmp-appendix---dalton-index-3_4_cmp_pritm_appendix_dalton.do" class="section level3">
<h3>CMP Appendix - Dalton index [3_4_CMP_PRITM_Appendix_Dalton.do]</h3>
<p>This do-file:</p>
<pre><code>A. Call the Data
B. Define variables
C. Export Tables </code></pre>
<p>Input: ** Manifesto Project database**</p>
<pre><code>- `Data\CMP\MPDataset_MPDS2020a_stata14.dta` // Data download from https://manifesto-project.wzb.eu/datasets 2021</code></pre>
<p>Final output:</p>
<ul>
<li>Cleaned data: * <code>Data\CMP_Dalton.dta</code> this data contains
the relevant variables for the analysis with the DV as the polarization
over redistribution, and fixed-value positions, estimated as Dalton
index</li>
<li>Tables: * table A22: Partisan Polarization over Redistribution and
Fixed Attributes, Dalton Index</li>
</ul>
<pre class="stata"><code>*##########################################
* Alternatively load prepared data
*##########################################

use &quot;Data\CMP_Dalton.dta&quot;, clear    
    </code></pre>
<pre><code>(Manifesto Project Dataset Version 2020a. Please type &quot;notes&quot; for more details)</code></pre>
<div id="table-a22-partisan-polarization-over-redistribution-and-fixed-attributes-dalton-index" class="section level4">
<h4>Table A22: Partisan Polarization over Redistribution and Fixed
Attributes, Dalton Index</h4>
<pre class="stata"><code>*##########################################
* Analysis
*##########################################
{
// table A22: Partisan Polarization over Redistribution and Fixed Attributes, Dalton Index
{
preserve
keep if PRITM==1
   keep if year&gt;1969 

eststo clear
// Redistribution
eststo: qui reg welfare_policy_dt2 L.welfare_policy_dt2 shock totseats  oecdmember  number2 i.year, cluster(countryname)
eststo: qui reg fixed_dt2 L.fixed_dt2 shock totseats  oecdmember  number2 i.year, cluster(countryname)



esttab , replace label se title(Polarization over Redistribution and Fixed Attributes, Dalton Index \label {TabWithindalton}) mti(&quot;Redistribution&quot; &quot;Fixed Values&quot; &quot;Redistribution&quot; &quot;Fixed Values&quot; ) compress nogap star(* 0.1 ** 0.05 *** 0.01) b(%6.3f) keep(shock ) scalars( &quot;N Observations&quot; &quot;r2 R$^2$&quot; &quot;aic AIC&quot; ) indicate(&quot;Controls = tots*&quot; &quot;LDV = L.*&quot; &quot;FE Year = *year&quot;) 




restore
}
}</code></pre>
<pre><code>(0 observations deleted)
(0 observations deleted)
(est1 stored)
(est2 stored)

Polarization over Redistribution and Fixed Attributes, Dalton Index \label {Tab
&gt; Withindalton}
------------------------------------------
                       (1)          (2)   
                 Redistr~n    Fixed V~s   
------------------------------------------
High LMP period    -12.476***     9.747***
                   (2.216)      (1.003)   
Controls               Yes          Yes   
LDV                    Yes          Yes   
FE Year                Yes          Yes   
------------------------------------------
Observations           186          186   
R$^2$                0.384        0.401   
AIC               1074.384     1031.899   
------------------------------------------
Standard errors in parentheses
* p&lt;0.1, ** p&lt;0.05, *** p&lt;0.01</code></pre>
<pre class="stata"><code>esttab using &quot;Table\TabWithindalton.tex&quot;, replace label se title(Polarization over Redistribution and Fixed Attributes, Dalton Index \label {TabWithindalton}) mti(&quot;Redistribution&quot; &quot;Fixed Values&quot; &quot;Redistribution&quot; &quot;Fixed Values&quot; ) compress nogap star(* 0.1 ** 0.05 *** 0.01) b(%6.3f) keep(shock ) scalars( &quot;N Observations&quot; &quot;r2 R$^2$&quot; &quot;aic AIC&quot; ) indicate(&quot;Controls = tots*&quot; &quot;LDV = L.*&quot; &quot;FE Year = *year&quot;) 
</code></pre>
<pre><code>(output written to Table\TabWithindalton.tex)</code></pre>
</div>
</div>
<div id="cmp-appendix---er-3_5_cmp_pritm_appendix_er.do" class="section level3">
<h3>CMP Appendix - ER [3_5_CMP_PRITM_Appendix_ER.do]</h3>
<p>This do-file:</p>
<pre><code>A. Call the Data
B. Define variables
C. Export Tables </code></pre>
<p>Input: ** Manifesto Project database**</p>
<pre><code>- `Data\CMP\MPDataset_MPDS2020a_stata14.dta` // Data download from https://manifesto-project.wzb.eu/datasets 2021</code></pre>
<p>Final output:</p>
<ul>
<li><p>Cleaned data:</p>
<pre><code>* `Data\CMP_ER.dta` this data contains the relevant variables for the analysis with the DV as the polarization over redistribution, and fixed-value positions, estimated following Esteban and Ray 1994.</code></pre></li>
<li><p>Tables:</p>
<pre><code>* table A23: Partisan Polarization over Redistribution and Fixed Attributes</code></pre></li>
</ul>
<pre class="stata"><code>*##########################################
* Alternatively load prepared data
*##########################################

use &quot;Data\CMP_ER.dta&quot;, clear    
    </code></pre>
<pre><code>(Manifesto Project Dataset Version 2020a. Please type &quot;notes&quot; for more details)</code></pre>
<div id="table-a23-partisan-polarization-over-redistribution-and-fixed-attributes" class="section level4">
<h4>Table A23: Partisan Polarization over Redistribution and Fixed
Attributes</h4>
<pre class="stata"><code>*##########################################
* Analysis
*##########################################
{

// table A23: Partisan Polarization over Redistribution and Fixed Attributes
{
preserve

eststo clear
eststo: qui reg distance_welfare_policy3 L.distance_welfare_policy3 shock totseats  oecdmember  number2 , cluster(countryname)
eststo: qui reg distance_fixed3 L.distance_fixed3 shock totseats  oecdmember  number2 , cluster(countryname)



esttab , replace label se title(Partisan Polarization over Redistribution and Fixed Attributes  \label {TabWithinER}) mti(&quot;Redistribution&quot; &quot;Fixed Values&quot; &quot;Redistribution&quot; &quot;Fixed Values&quot;) compress nogap star(* 0.1 ** 0.05 *** 0.01) b(%6.3f) keep(shock    ) scalars( &quot;N Observations&quot; &quot;r2 R$^2$&quot; &quot;aic AIC&quot; ) indicate(&quot;Control variables = tot*&quot; &quot;LDV = L.*&quot; )


restore
}
}</code></pre>
<pre><code>(est1 stored)
(est2 stored)

Partisan Polarization over Redistribution and Fixed Attributes \label {TabWithi
&gt; nER}
------------------------------------------
                       (1)          (2)   
                 Redistr~n    Fixed V~s   
------------------------------------------
High LMP period   -3.3e+03      1.1e+04***
                 (1.3e+04)    (3248.358)   
Control variab~s       Yes          Yes   
LDV                    Yes          Yes   
------------------------------------------
Observations           180          180   
R$^2$                0.326        0.295   
AIC               4589.552     4358.513   
------------------------------------------
Standard errors in parentheses
* p&lt;0.1, ** p&lt;0.05, *** p&lt;0.01</code></pre>
<pre class="stata"><code>esttab using &quot;Table\TabWithin_ER.tex&quot;, replace label se title(Partisan Polarization over Redistribution and Fixed Attributes  \label {TabWithinER}) mti(&quot;Redistribution&quot; &quot;Fixed Values&quot; &quot;Redistribution&quot; &quot;Fixed Values&quot;) compress nogap star(* 0.1 ** 0.05 *** 0.01) b(%6.3f) keep(shock    ) scalars( &quot;N Observations&quot; &quot;r2 R$^2$&quot; &quot;aic AIC&quot; ) indicate(&quot;Control variables = tot*&quot; &quot;LDV = L.*&quot; )
</code></pre>
<pre><code>(output written to Table\TabWithin_ER.tex)</code></pre>
</div>
</div>
</div>
<div id="pritm-systems-campaign-message-and-targeting-strategies-in-germany" class="section level2">
<h2>PRITM Systems: Campaign Message and Targeting Strategies in
Germany</h2>
<div id="topic-analysis-2_3_speech_us_germany_appendix_nmf.ipynb-1" class="section level3">
<h3>Topic Analysis [2_3_Speech_US_Germany_Appendix_NMF.ipynb]</h3>
<p>This file:</p>
<ul>
<li>Creates inputs for Table A17: NMF Topic Modeling.</li>
<li>First it does the NMF for the US, then for Germany.</li>
<li>Once topic are created the proportion of each one of them is
calculated.</li>
</ul>
<p>Input:</p>
<ul>
<li><code>Data/cleaned_data.csv</code> # Data for the US</li>
<li><code>Data/cleaned_data_G.csv</code> # Data for Germany</li>
</ul>
<p>Output:</p>
<ul>
<li>Inputs for Table A17: NMF Topic Modeling, 4 clusters, top-10
terms.</li>
</ul>
<p><strong>NOTE: the code for this file can be accessed in the jupyter
notebook in the folder <code>do</code>.</strong></p>
</div>
<div id="targeting-strategies-electoral-performance-across-districts-3_0_regional_germany_hateincidents.rmd-3_1_regional_germany.do" class="section level3">
<h3>Targeting Strategies: Electoral Performance Across Districts
[3_0_Regional_Germany_HateIncidents.rmd] &amp;
[3_1_Regional_Germany.do]</h3>
<div id="regional_germany_hateincidents.rmd" class="section level4">
<h4>[3_0_Regional_Germany_HateIncidents.rmd]</h4>
<p>This Rmarkdown:</p>
<ul>
<li>Creates a file with the data for hate incidents by region in
Germany.</li>
</ul>
<p>Input:</p>
<ul>
<li>Download <code>arvig</code> data from the package</li>
</ul>
<p>Output:</p>
<ul>
<li><code>Data/final_aggregated_data.dta</code> It is a dta file with
the count of hate incidents per geographic area.</li>
</ul>
<pre class="r"><code># install.packages(&quot;devtools&quot;)
devtools::install_github(&quot;davben/arvig&quot;)</code></pre>
<pre class="r"><code>library(arvig)
library(tidyverse)
library(sf)

data(&quot;arvig&quot;)</code></pre>
<pre class="r"><code>## Preparing the data
#I will count the events, and create a single variable called anti, which refers to the count of incidents. 

data(arvig, package = &quot;arvig&quot;)
arvig$count&lt;-1
arvig &lt;- arvig %&gt;%
  mutate(attack = case_when(
    category_en %in% c(&quot;arson &amp; miscellaneous attack&quot;, 
                       &quot;demonstration &amp; miscellaneous attack&quot;, 
                       &quot;assault&quot;, 
                       &quot;miscellaneous attack&quot;, 
                       &quot;miscellaneous attack &amp; assault&quot;, 
                       &quot;arson&quot;, 
                       &quot;other&quot;) ~ 1,
    TRUE ~ 0 # Assigns 0 if none of the conditions above are met
  ))

arvig &lt;- arvig %&gt;%
  mutate(demonstration = case_when(
    category_en %in% c(&quot;demonstration&quot;, 
                       &quot;demonstration &amp; miscellaneous attack&quot;, 
                       &quot;suspicion&quot;) ~ 1,
    TRUE ~ 0 # Assigns 0 if none of the conditions above are met
  ))</code></pre>
<p>Common format to merge</p>
<p>To merge the data with the other sources I need to modify
community_id and call it kreis.</p>
<pre class="r"><code>arvig$kreis &lt;- ifelse(substr(arvig$community_id, 1, 1) == &quot;0&quot;, 
                           substr(arvig$community_id, 2, 5), 
                           substr(arvig$community_id, 1, 5))</code></pre>
<pre class="r"><code>arvig$new_column &lt;- as.numeric(substr(arvig$community_id, 1, 5))
# Check data types for specific columns
sapply(arvig[c(&quot;kreis&quot;, &quot;count&quot;, &quot;attack&quot;, &quot;demonstration&quot;)], class)</code></pre>
<pre><code>        kreis         count        attack demonstration 
  &quot;character&quot;     &quot;numeric&quot;     &quot;numeric&quot;     &quot;numeric&quot; </code></pre>
<pre class="r"><code># Ensure we&#39;re working with the correct data types
arvig$kreis &lt;- as.numeric(arvig$kreis)
arvig$anti &lt;- as.numeric(arvig$count)

arvig$kreis[arvig$kreis == 3159] &lt;- 3158
arvig$kreis[arvig$kreis == 11000] &lt;- 11100
arvig$state_state&lt;-arvig$state</code></pre>
<p>Subsetting for the period of interest 1 year previous to the
election</p>
<pre class="r"><code># Ensure that the &#39;date&#39; column is in Date format
arvig$date &lt;- as.Date(arvig$date)


subset_arvig &lt;- subset(arvig, date &gt;= as.Date(&quot;2016-09-01&quot;) &amp; date &lt;= as.Date(&quot;2017-10-01&quot;) )</code></pre>
<p>Collapsing by geographic unit</p>
<p>Since the data is a list of events I am aggregating it so I can have
an indicator per region.</p>
<pre class="r"><code># Aggregating numeric variables
agg_data &lt;- aggregate(cbind(anti, attack, demonstration) ~ kreis, data = subset_arvig, sum, na.rm = TRUE)

arvig_sorted &lt;- subset_arvig[order(subset_arvig$kreis), ]
first_instances &lt;- arvig_sorted[!duplicated(arvig_sorted$kreis), c(&quot;kreis&quot;, &quot;community_id&quot;, &quot;longitude&quot;, &quot;latitude&quot;, &quot;state_state&quot;, &quot;location&quot;)]

# Merging aggregated numeric data with first instances of other variables



final_aggregated_data &lt;- merge(agg_data, first_instances, by = &quot;kreis&quot;)

# Replace specific &#39;kreis&#39; values</code></pre>
<p>Saving the data I will use to merge with others sources</p>
<pre class="r"><code># Get the directory of the current Rmd file
#current_dir &lt;- dirname(rstudioapi::getActiveDocumentContext()$path)

# Define the path to the &quot;Publication&quot; folder
#publication_folder &lt;- normalizePath(file.path(current_dir, &quot;..&quot;))

# Set the working directory to the &quot;Publication&quot; folder
#setwd(publication_folder)

# Verify the working directory has been set correctly
#print(getwd())

# Load the haven package
library(haven)

# Use write_dta to save the dataframe as a .dta file
write_dta(final_aggregated_data, &quot;Data/Region_Germany/final_aggregated_data.dta&quot;)</code></pre>
</div>
<div id="regional_germany.do" class="section level4">
<h4>[3_1_Regional_Germany.do]</h4>
<p>This do-file:</p>
<ul>
<li>Creates Table 4 and A16 using data from electoral perfomance of the
AfD, hate incidents, and exposure to automation.</li>
</ul>
<p>Input:</p>
<ul>
<li><code>Data\Region_Germany\btw2017kreis (3).csv</code> // This file
contains electoral results.</li>
<li><code>Data\Region_Germany\ RegionEntries14.dta</code> // This file
contains replication data from “Trade and Manufacturing Jobs in Germany”
By Wolfgang Dauth, Sebastian Findeisen, and Jens Suedekum</li>
<li><code>Data\Region_Germany\final_aggregated_data.dta</code> // This
file contains hate incidents in Germany, subset prepared from ARVIG
data. The rmd which creates this file is named as
<code>3_0_Regional_Germany_HateIncidents.rmd</code></li>
</ul>
<p>Alternatively you can go to line 79 and use prepared data: -
<code>Data\Regional_Germany.dta</code></p>
<p>Output:</p>
<ul>
<li>Table 4: AfD Performance
[<code>Table\AfD_high_pop_r2.tex</code>]</li>
<li>Table A16: Summary statistics of variables used in this study about
AfD regional performance [<code>Table\AfD_descriptive.tex</code>]</li>
</ul>
<pre class="stata"><code>*Calling the data
use &quot;Data\Regional_Germany.dta&quot;, clear</code></pre>
<div id="table-4-afd-performance" class="section level5">
<h5>Table 4: AfD Performance</h5>
<pre class="stata"><code>*******************************************************************************
* Analysis
*******************************************************************************
// Table 4: AfD Performance


eststo clear

eststo: qui reg afp_prop rou_pop anti_pop , cluster(state_n) 

eststo: qui reg afp_prop rou_pop anti_pop perc_foreign $controls reg_south reg_east reg_north i.state_n, cluster(state_n) 

eststo: qui reg afp_prop rou_pop anti_pop interaction_pop     reg_south reg_east reg_north perc_foreign  $controls, cluster(state_n)
eststo: qui reg afp_prop rou_pop anti_pop interaction_pop     reg_south reg_east reg_north  i.state_n perc_foreign $controls, cluster(state_n)


esttab , replace label se title(AfD Performance \label {TableAfd})   compress nogap star(* 0.1 ** 0.05 *** 0.01) b(%6.3f) keep(rou_pop anti_pop interaction* )     indicate( &quot;Other controls = perc_foreign&quot; &quot;FE State = *state_n&quot; ) scalars( &quot;N Observations&quot; &quot;r2 R$^2$&quot; &quot;aic AIC&quot; ) nomtitle collabels(none) 


    </code></pre>
<pre><code>(est1 stored)

(est2 stored)

(est3 stored)

(est4 stored)


AfD Performance \label {TableAfd}
--------------------------------------------------------------------
                       (1)          (2)          (3)          (4)   
--------------------------------------------------------------------
Share of  expo~s    -0.220        0.294*      -0.035        0.004   
                   (0.219)      (0.142)      (0.182)      (0.186)   
Hate Incidents~p     0.654***    -0.042       -1.618***    -1.226*  
                   (0.115)      (0.090)      (0.527)      (0.655)   
Exposed x Hate                                18.772***    14.033*  
                                             (5.879)      (7.039)   
Other controls          No          Yes          Yes          Yes   
FE State                No          Yes           No          Yes   
--------------------------------------------------------------------
Observations           400          400          400          400   
R$^2$                0.144        0.699        0.603        0.704   
AIC               -1.2e+03     -1.6e+03     -1.5e+03     -1.6e+03   
--------------------------------------------------------------------
Standard errors in parentheses
* p&lt;0.1, ** p&lt;0.05, *** p&lt;0.01</code></pre>
<pre class="stata"><code>esttab using &quot;Table\AfD_high_pop_r2.tex&quot;, replace label se title(AfD Performance \label {TableAfd})   compress nogap star(* 0.1 ** 0.05 *** 0.01) b(%6.3f) keep(rou_pop anti_pop interaction* )     indicate( &quot;Other controls = perc_foreign&quot; &quot;FE State = *state_n&quot; ) scalars( &quot;N Observations&quot; &quot;r2 R$^2$&quot; &quot;aic AIC&quot; ) nomtitle collabels(none) </code></pre>
<pre><code>(output written to Table\AfD_high_pop_r2.tex)</code></pre>
</div>
<div id="table-a16-summary-statistics-of-variables-used-in-this-study-about-afd-regional-performance" class="section level5">
<h5>Table A16: Summary statistics of variables used in this study about
AfD regional performance</h5>
<pre class="stata"><code>////////////////////////////////////
* Descriptives
///////////////////////////////////


eststo clear

// table A16: Summary statistics of variables used in this study about AfD regional performance
{
qui estpost sum afp_prop rou_pop anti_pop  anti    reg_south reg_east reg_north  $controls, d

}
</code></pre>
<pre class="stata"><code>
esttab , /// 
    cells(&quot;mean(label(Mean) fmt(2)) p50(label(Median) fmt(2)) sd(label(S.D.) fmt(2)) min(label(Min.) fmt(2)) max(label(Max) fmt(2)) count(label(Obs.) fmt(0))&quot;) ///
    nonumber label replace noobs
eststo clear

esttab using &quot;Table\AfD_descriptive.tex&quot;, /// 
    cells(&quot;mean(label(Mean) fmt(2)) p50(label(Median) fmt(2)) sd(label(S.D.) fmt(2)) min(label(Min.) fmt(2)) max(label(Max) fmt(2)) count(label(Obs.) fmt(0))&quot;) ///
    nonumber label replace noobs
eststo clear
</code></pre>
<pre><code>                             Mean       Median         S.D.         Min.       
&gt;    Max         Obs.
-------------------------------------------------------------------------------
&gt; -------------------
AfD Share of votes           0.12         0.11         0.06         0.00       
&gt;   0.37          400
Share of  exposed ~s         0.08         0.08         0.01         0.04       
&gt;   0.15          400
Hate Incidents Per~p         0.02         0.01         0.03         0.00       
&gt;   0.36          400
\# Hate incidents ~t         4.33         2.00         9.42         0.00       
&gt; 156.00          400
South Region                 0.35         0.00         0.48         0.00       
&gt;   1.00          400
East Region                  0.19         0.00         0.39         0.00       
&gt;   1.00          400
North Region                 0.15         0.00         0.36         0.00       
&gt;   1.00          400
Employment share o~h        14.30        12.98         5.55         5.77       
&gt;  36.42          400
Employment share o~n         7.27         6.79         4.15         0.85       
&gt;  21.46          400
Employment share o~)        45.81        45.81         4.35        29.34       
&gt;  58.43          400
Employment sh.. (\%)        21.53        20.08         9.98         1.86       
&gt;  56.96          400
Employment sh.. of~)         1.04         0.00         5.04         0.00       
&gt;  54.34          400
-------------------------------------------------------------------------------
&gt; -------------------


(output written to Table\AfD_descriptive.tex)</code></pre>
</div>
</div>
</div>
</div>
</div>
<div id="appendix-figures" class="section level1">
<h1>Appendix Figures</h1>
<div id="figures_issp.do" class="section level2">
<h2>[4_1_Figures_ISSP.do]</h2>
<pre class="stata"><code>*##########################################
* Load  data
*##########################################

use &quot;Data\Figures_ISSP.dta&quot;, clear 
    </code></pre>
<div id="figure-a3-importance-of-job-security-difficulties-to-find-a-new-job-concerns-about-losing-the-job-and-job-dissatisfaction" class="section level3">
<h3>Figure A3: Importance of job security, Difficulties to find a new
job, Concerns about losing the job and Job dissatisfaction</h3>
<pre class="stata"><code>
// Figure A3: Importance of job security, Difficulties to find a new job, Concerns about losing the job and Job dissatisfaction
{
* The code categorizes individuals based on whether they find it difficult to get a new job, then runs a logistic regression to assess how the risk of automation influences this difficulty, adjusting for weights. It calculates the predicted probabilities of job difficulty across different levels of automation risk and generates a graph to visualize these probabilities, saving the result as a file.
* Code commented for first graph whether it is difficult to find a new job. Then code for the other three is similar (levels of variables changes so the dummies are different). 


* Graph style for figure A3
{
grstyle clear
set scheme s2color
grstyle init
grstyle set plain, nogrid
grstyle color background white
}
* W_easynewjob
{
* Generate a new variable &#39;W_easynewjob_difficult&#39; to categorize the difficulty of finding a new job
* Set &#39;W_easynewjob_difficult&#39; to 1 if &#39;W_easynewjob&#39; is 4 or 5 (indicating it is difficult)
gen W_easynewjob_difficult = 1 if W_easynewjob == 4 | W_easynewjob == 5
* Replace &#39;W_easynewjob_difficult&#39; with 0 if &#39;W_easynewjob&#39; is 1, 2, or 3 (indicating it is not difficult)
replace W_easynewjob_difficult = 0 if W_easynewjob == 1 | W_easynewjob == 2 | W_easynewjob == 3

* Run a logistic regression model with &#39;W_easynewjob_difficult&#39; as the dependent variable
logit W_easynewjob_difficult rti [pweight=weight]

* Calculate the marginal effects of &#39;rti&#39; on the predicted probability of &#39;W_easynewjob_difficult&#39;
* atmeans calculates the marginal effect at the means of the covariates
* at() specifies a range of values for &#39;rti&#39; from -1.52 to 2.24 with increments of 0.05
margins, atmeans at(rti=(-1.52(0.05)2.24))

* Plot the margins with a line graph and display the confidence intervals as dotted lines
 margins, atmeans at(rti=(-1.52(0.05)2.24)) 
     marginsplot , recast(line) recastci(rline) ci1opts(fintensity(50) lpattern(dot)) xti(Risk of automation) yti(&quot;Predicted probability (95% CI)&quot;) ti(&quot;Job dissatisfaction&quot;)  saving(&quot;Figure/difficult.gph&quot;, replace)
}

     
* W_satisfaction
{
gen dissatisfied=1 if W_satisfaction==5 | W_satisfaction==6 | W_satisfaction==7
replace dissatisfied=0 if W_satisfaction==1 | W_satisfaction==2 | W_satisfaction==3 | W_satisfaction==4


logit dissatisfied rti [pweight=weight]

 margins, atmeans at(rti=(-1.52(0.05)2.24)) 
     marginsplot , recast(line) recastci(rline) ci1opts(fintensity(50) lpattern(dot)) xti(Risk of automation) yti(&quot;Predicted probability (95% CI)&quot;) ti(&quot;Job dissatisfaction&quot;)  saving(&quot;Figure/dissatisfied.gph&quot;, replace)
}    

     
* W_losing
{
gen W_losing2=1 if W_losing==1 | W_losing==2 | W_losing==3
replace W_losing2=0 if W_losing==4 


logit W_losing2   rti [pweight=weight]

 margins, atmeans at(rti=(-1.52(0.05)2.24)) 
     marginsplot , recast(line) recastci(rline) ci1opts(fintensity(50) lpattern(dot)) xti(Risk of automation) yti(&quot;Predicted probability (95% CI)&quot;) ti(&quot;Concerns about losing job&quot;) saving(&quot;Figure/losing.gph&quot;, replace)
}

* W_jobsec
{
gen W_jobsec2=1 if W_jobsec==1 | W_jobsec==2
replace W_jobsec2=0 if W_jobsec==3 | W_jobsec==4 | W_jobsec==5


logit W_jobsec2 rti [pweight=weight] 
 margins, atmeans at(rti=(-1.52(0.05)2.24)) 
     marginsplot , recast(line) recastci(rline) ci1opts(fintensity(50) lpattern(dot)) xti(Risk of automation) yti(&quot;Predicted probability (95% CI)&quot;) ti(&quot;Importance of job security&quot;) saving(&quot;Figure/security.gph&quot;, replace)
}
* Combine the specified graphs into one figure
graph combine &quot;Figure/security.gph&quot; &quot;Figure/difficult.gph&quot; &quot;Figure/losing.gph&quot; &quot;Figure/dissatisfied.gph&quot;

* Export the combined graph as a PDF file, replacing any existing file
graph export &quot;Figure/jobdisatisfactionpredictedtogetherall.pdf&quot;, as(pdf) replace

* Delete the individual graph files after combining them
erase &quot;Figure/security.gph&quot;
erase &quot;Figure/difficult.gph&quot;
erase &quot;Figure/losing.gph&quot;
erase &quot;Figure/dissatisfied.gph&quot;

}
</code></pre>
<div class="float">
<embed 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" style="width:12cm"></embed>
<div class="figcaption">Figure A3: Importance of job security,
Difficulties to find a new job, Concerns about losing the job and Job
dissatisfaction</div>
</div>
</div>
</div>
<div id="figures_appendix_ess.do" class="section level2">
<h2>[4_2_Figures_Appendix_ESS.do]</h2>
<p>This do-file:</p>
<ul>
<li>Creates Figure A2 using data from the ESS.</li>
</ul>
<p>Input:</p>
<ul>
<li><code>Data\Appendix_ESS.dta</code></li>
</ul>
<p>Output:</p>
<ul>
<li>Figure A2: Share routine and non-routine 2002-2018
[<code>Figure\Share routine and non routine.pdf</code>]</li>
</ul>
<pre class="stata"><code>*##########################################
* Load  data
*##########################################

use &quot;Data\Appendix_ESS.dta&quot;, clear 
    </code></pre>
<div id="figure-a2-share-routine-and-non-routine-2002-2018" class="section level3">
<h3>Figure A2: Share routine and non-routine 2002-2018</h3>
<pre class="stata"><code>
*******************************************************************************
* Graphs
*******************************************************************************
* Graph style
{
grstyle clear
set scheme s2color
grstyle init
grstyle set plain, box
grstyle color background white
grstyle color major_grid gs8
grstyle linepattern major_grid dot
}
// Figure A2: Share routine and non-routine 2002-2018
{
preserve
// Preserve the current dataset in memory to allow restoration later

// Generate a binary variable &#39;tokeep&#39; to identify the countries to be kept for Figure A2
gen tokeep = (cou == &quot;BEL&quot; | cou == &quot;CZE&quot; | cou == &quot;EST&quot; | cou == &quot;HUN&quot; | cou == &quot;LUX&quot; | cou == &quot;SVK&quot; | cou == &quot;SVN&quot; | cou == &quot;DNK&quot; | cou == &quot;FIN&quot; | cou == &quot;FRA&quot; | cou == &quot;DEU&quot; | cou == &quot;GRC&quot; | cou == &quot;IRL&quot; | cou == &quot;NLD&quot; | cou == &quot;PRT&quot; | cou == &quot;ESP&quot; | cou == &quot;SWE&quot; | cou == &quot;GBR&quot; | cou == &quot;NOR&quot; | cou == &quot;CHE&quot; | cou == &quot;AUT&quot; | cou == &quot;ITA&quot; | cou == &quot;POL&quot;)

// Keep only the observations for the countries specified in &#39;tokeep&#39;
keep if tokeep == 1


// Keep observations where &#39;mnactic&#39; is 1 or 3 (paid work or unemployed looking for a job), and &#39;rti&#39; is not missing
keep if inlist(mnactic, 1, 3) &amp; rti ~= .

// Generate a binary variable &#39;routine&#39; to indicate whether the task is routine (rti &gt; 0)
gen routine = 1 if rti &gt; 0
replace routine = 0 if rti &lt; 0

// Calculate the total number of people in each occupation per year for each country and routine category
bysort year routine cou: egen empl = sum(dweight)

// Calculate the total number of people in each ISCO2 category per year for each country
bysort year cou: egen tot = sum(dweight)

// Calculate the share of people within each type of task (routine or non-routine) per year
gen share = empl / tot * 100

// Label the variables with descriptive names
label var empl &quot;total no people within occup/year&quot;
label var tot &quot;total no people with isco2 within year&quot;
label var share &quot;share of people within type of task routinary or not /year&quot;
lab var cou &quot;Country&quot;

// Collapse the dataset to calculate the weighted share of routine and non-routine tasks by year and country
collapse share [aw=pweight], by(routine year cou)

// Sort the dataset by country, year, and routine status
sort cou year routine share

// Generate separate variables for the share of non-routine and routine tasks
gen routine0 = share if routine == 0
gen routine1 = share if routine == 1

// Calculate the total share of non-routine tasks per year and country
bysort year cou: egen share0 = total(routine0)

// Calculate the total share of routine tasks per year and country
bysort year cou: egen share1 = total(routine1)

// Calculate the polarization between non-routine and routine tasks
gen polarization = share0 - share1

// Generate a line graph showing the share of routine and non-routine tasks over time for each country
graph twoway ///
    line share year if routine == 1, lc(red) legend(label(1 &quot;Routine&quot;)) by(cou) || ///
    line share year if routine == 0, lc(blue) legend(label(2 &quot;Non-Routine&quot;)) by(cou)

// Export the graph to a PDF file
graph export &quot;Figure\Share routine and non routine.pdf&quot;, as(pdf) replace

// Restore the original dataset that was in memory before any modifications
restore
    
}</code></pre>
<pre><code>(85,256 observations deleted)
(181,328 observations deleted)
(99,690 missing values generated)
(99,690 real changes made)
(177 missing values generated)
(177 missing values generated)
file Figure\Share routine and non routine.pdf saved as PDF format</code></pre>
<div class="float">
<embed 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" style="width:12cm"></embed>
<div class="figcaption">Figure A2: Share routine and non-routine
2002-2018</div>
</div>
</div>
</div>
<div id="figures_appendix_ches.do" class="section level2">
<h2>[4_3_Figures_Appendix_CHES.do]</h2>
<p>This do-file:</p>
<ul>
<li>Creates Figure A4 using data from CHES.</li>
</ul>
<p>Input:</p>
<ul>
<li><code>Data\1999-2019_CHES_dataset_means(v3).dta</code></li>
</ul>
<p>Output:</p>
<ul>
<li>Figure A4: Number of Radical Right Parties in the Party System
[<code>Figures\NewParty.pdf</code>]</li>
</ul>
<pre class="stata"><code>*##########################################
* Load  data
*##########################################

use &quot;Data\1999-2019_CHES_dataset_means(v3).dta&quot;, clear 
    </code></pre>
<div id="figure-a4-number-of-radical-right-parties-in-the-party-system" class="section level3">
<h3>Figure A4: Number of Radical Right Parties in the Party System</h3>
<pre class="stata"><code>*******************************************************************************
* Preparing variables
*******************************************************************************
{
gen radright=1 if family==1
replace radright=0 if family&gt;1
}

******************************************************************************
* Graph
******************************************************************************
* Graph style 
{
grstyle clear
set scheme s2color
grstyle init
grstyle set plain, box
grstyle color background white
grstyle set color dknavy
grstyle yesno draw_major_hgrid yes
grstyle yesno draw_major_ygrid yes
grstyle color major_grid gs8
grstyle linepattern major_grid dot
grstyle color ci_area gs12%50
 graph set window fontface &quot;Georgia&quot;
}
// Figure A4: Number of Radical Right Parties in the Party System
{
preserve
collapse (sum) radright, by(year)  // Collapse the data by summing the &#39;radright&#39; variable for each year

line radright year, ytitle(&quot;Number of Radical Right Parties&quot;, size(small))   xtitle(&quot;Year&quot;, size(small))  
graph export &quot;Figure\NewParty.pdf&quot;, as(pdf) replace

restore
}</code></pre>
<pre><code>(1,077 missing values generated)
(1,077 real changes made)


file Figure\NewParty.pdf saved as PDF format</code></pre>
<div class="float">
<embed 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" style="width:12cm"></embed>
<div class="figcaption">Figure A4: Number of Radical Right Parties in
the Party System</div>
</div>
</div>
</div>
<div id="figures_appendix_cmp.do" class="section level2">
<h2>[4_4_Figures_Appendix_CMP.do]</h2>
<p>This do-file:</p>
<ul>
<li>Creates Figure A5 using data from ISSP.</li>
</ul>
<p>Input:</p>
<ul>
<li><code>Data\CMP\MPDataset_MPDS2020a_stata14.dta</code></li>
</ul>
<p>Output:</p>
<ul>
<li>Figure A5: Number of Nationalist Parties in Elections
[<code>Figures\Nationalist.pdf</code>]</li>
</ul>
<pre class="stata"><code>*##########################################
* Load  data
*##########################################

use &quot;Data\CMP\MPDataset_MPDS2020a_stata14.dta&quot;, clear 
    </code></pre>
<pre><code>(Manifesto Project Dataset Version 2020a. Please type &quot;notes&quot; for more details)</code></pre>
<div id="figure-a5-number-of-nationalist-parties-in-elections" class="section level3">
<h3>Figure A5: Number of Nationalist Parties in Elections</h3>
<pre class="stata"><code>*******************************************************************************
* Preparing variables
*******************************************************************************
{
gen year = year(edate) 

keep if countryname==&quot;Australia&quot; |  countryname==&quot;Canada&quot; |  countryname==&quot;Greece&quot; |  countryname==&quot;New Zealand&quot; |  countryname==&quot;Portugal&quot; |  countryname==&quot;Spain&quot; |  countryname==&quot;United Kingdom&quot; |  countryname==&quot;United States&quot; |  countryname==&quot;France&quot; |  countryname==&quot;Norway&quot; | countryname==&quot;Austria&quot; | countryname==&quot;Belgium&quot; | countryname==&quot;Denmark&quot; | countryname==&quot;Estonia&quot; | countryname==&quot;Finland&quot; | countryname==&quot;Hungary&quot; | countryname==&quot;Germany&quot; | countryname==&quot;Iceland&quot;  | countryname==&quot;Ireland&quot;  | countryname==&quot;Italy&quot;  | countryname==&quot;Netherlands&quot;  | countryname==&quot;Norway&quot; | countryname==&quot;Slovakia&quot; | countryname==&quot;Slovenia&quot; | countryname==&quot;Sweden&quot; | countryname==&quot;Switzerland&quot;

gen radright=1 if parfam==70
replace radright=0 if parfam&gt;70 | parfam&lt;70
}

*******************************************************************************
* Graphs
*******************************************************************************
* Graph style
{
grstyle clear
set scheme s2color
grstyle init
grstyle set plain, box
grstyle color background white
grstyle set color dknavy
grstyle yesno draw_major_hgrid yes
grstyle yesno draw_major_ygrid yes
grstyle color major_grid gs8
grstyle linepattern major_grid dot
grstyle color ci_area gs12%50
 graph set window fontface &quot;Georgia&quot;
}
// Figure A5: Number of Nationalist Parties in Elections
{
sort year  // Sort the dataset by year
collapse (sum) radright, by(year)  // Collapse the data by summing the &#39;radright&#39; variable for each year
tsset year  // Declare the dataset to be time-series data with &#39;year&#39; as the time variable

rolling, window(4) saving(rolling_dataset, replace): egen ma_radright = total(radright)  // Calculate a 4-year moving average of the &#39;radright&#39; variable and save the result in &#39;rolling_dataset.dta&#39;

use &quot;rolling_dataset.dta&quot;, clear  // Load the &#39;rolling_dataset.dta&#39; file
line mean start if start &gt; 1969, title(&quot;Number of Nationalist Parties with 4-Yr Moving Average&quot;) xtitle(&quot;Year&quot;) ytitle(&quot;Number of Nationalist Parties&quot;)  // Create a line graph of the 4-year moving average of nationalist parties starting from 1970
graph export &quot;Figure\Nationalist.pdf&quot;, as(pdf) replace  // Export the graph to a PDF file and replace any existing file with the same name

* Drop the .dta file
erase &quot;rolling_dataset.dta&quot;  // Delete the &#39;rolling_dataset.dta&#39; file from the directory

}
</code></pre>
<pre><code>(1,682 observations deleted)
(2,679 missing values generated)
(2,679 real changes made)



Time variable: year, 1920 to 2019, but with gaps
        Delta: 1 unit
(running egen on estimation sample)
(file rolling_dataset.dta not found)

Rolling replications (97)
----+--- 1 ---+--- 2 ---+--- 3 ---+--- 4 ---+--- 5 
..................................................    50
...............................................
file rolling_dataset.dta saved
(rolling: egen)
file Figure\Nationalist.pdf saved as PDF format</code></pre>
<div class="float">
<embed 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" style="width:12cm"></embed>
<div class="figcaption">Figure A5: Number of Nationalist Parties in
Elections</div>
</div>
</div>
</div>
<div id="figures_appendix_stockrobots.do" class="section level2">
<h2>[4_5_Figures_Appendix_StockRobots.do]</h2>
<p>This do-file:</p>
<ul>
<li>Creates Figure A1 using data from Acemoglu &amp; Restrepo.</li>
</ul>
<p>Input:</p>
<ul>
<li><code>Data\reproducingacemoglu.csv</code></li>
</ul>
<p>Output:</p>
<ul>
<li>Figure A1: Stock of robots per thousand of workers base 1993
[<code>Figures\number_robots.pdf</code>]</li>
</ul>
<pre class="stata"><code>*##########################################
* Load  data
*##########################################

 import delimited &quot;Data\reproducingacemoglu.csv&quot;, clear
    </code></pre>
<pre><code>(encoding automatically selected: ISO-8859-1)
(5 vars, 22 obs)</code></pre>
<div id="figure-a1-stock-of-robots-per-thousand-of-workers-base-1993" class="section level3">
<h3>Figure A1: Stock of robots per thousand of workers base 1993</h3>
<pre class="stata"><code>
******************************************************************************
* Graph setting
******************************************************************************
* Graph style 
{
grstyle clear
set scheme s2color
grstyle init
grstyle set plain, box
grstyle color background white
grstyle set color dknavy
grstyle yesno draw_major_hgrid yes
grstyle yesno draw_major_ygrid yes
grstyle color major_grid gs8
grstyle linepattern major_grid dot
grstyle color ci_area gs12%50
 graph set window fontface &quot;Georgia&quot;
}
 //Figure A1: Stock of robots per thousand of workers base 1993
 {
twoway ///
    (line germany year, lcolor(blue) lwidth(medium) lpattern(solid)) ///
    (line denmarkfinlandfranceitalyandswed year, lcolor(gs10) lwidth(medium) lpattern(longdash)) ///
    (line unitedstates year, lcolor(blue) lwidth(medium) lpattern(shortdash)) ///
    (line norwayspainanduk year, lcolor(blue) lwidth(medium) lpattern(dash_dot)), ///
    xtitle(&quot;Year&quot;) ytitle(&quot;Stock of robots per thousand of workers&quot;) ///
    legend(order(1 &quot;Germany&quot; 2 &quot;Denmark, Finland, France, Italy and Sweden&quot; 3 &quot;United States&quot; 4 &quot;Norway, Spain, and UK&quot;) position(6) size(small)) ///
    yscale(range(0 6)) xscale(range(1993 2014)) legend(size(small))


graph export &quot;Figure\number_robots.pdf&quot;, as(pdf) replace
}
</code></pre>
<pre><code>file Figure\number_robots.pdf saved as PDF format</code></pre>
<div class="float">
<embed 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" style="width:12cm"></embed>
<div class="figcaption">Figure A1: Stock of robots per thousand of
workers base 1993</div>
</div>
</div>
</div>
</div>




</div>

<script>

// add bootstrap table styles to pandoc tables
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